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\"الغابات الأفضل\" هو كتاب من تأليف مارتين بالتشايت، ويتناول موضوعات تتعلق بالحياة البرية وجمال الغابات من خلال منظور إبداعي وأدبي. يركز على العلاقات بين الحيوانات والطبيعة في الغابة وكيف تتفاعل فيما بينها، الجزء الثاني من الكتاب، \"الثعلب راينكه\"، من تأليف ميشائيل بوغدانوف، وهو نص يعرض مغامرات الثعلب راينكه في الغابة، وهو شخصية ذكية ومراوغة تواجه تحديات مختلفة، ترجمة الكتاب قام بها الدكتور نبيل الحفار، حيث يقدم العمل بأسلوب مبسط وسلس يعكس الجوهر الأدبي للقصة.

Background As of 13 July 2020, 12.9 million COVID-19 cases have been reported worldwide. Prior studies have demonstrated that local socioeconomic and built environment characteristics may significantly contribute to viral transmission and incidence rates, thereby accounting for some of the spatial variation observed. Due to uncertainties, non-linearities, and multiple interaction effects observed in the associations between COVID-19 incidence and socioeconomic, infrastructural, and built environment characteristics, we present a structured multimethod approach for analysing cross-sectional incidence data within in an Exploratory Spatial Data Analysis (ESDA) framework at the NUTS3 (county) scale. Methods By sequentially conducting a geospatial analysis, an heuristic geographical interpretation, a Bayesian machine learning analysis, and parameterising a Generalised Additive Model (GAM), we assessed associations between incidence rates and 368 independent variables describing geographical patterns, socioeconomic risk factors, infrastructure, and features of the build environment. A spatial trend analysis and Local Indicators of Spatial Autocorrelation were used to characterise the geography of age-adjusted COVID-19 incidence rates across Germany, followed by iterative modelling using Bayesian Additive Regression Trees (BART) to identify and measure candidate explanatory variables. Partial dependence plots were derived to quantify and contextualise BART model results, followed by the parameterisation of a GAM to assess correlations. Results A strong south-to-north gradient of COVID-19 incidence was identified, facilitating an empirical classification of the study area into two epidemic subregions. All preliminary and final models indicated that location, densities of the built environment, and socioeconomic variables were important predictors of incidence rates in Germany. The top ten predictor variables’ partial dependence exhibited multiple non-linearities in the relationships between key predictor variables and COVID-19 incidence rates. The BART, partial dependence, and GAM results indicate that the strongest predictors of COVID-19 incidence at the county scale were related to community interconnectedness, geographical location, transportation infrastructure, and labour market structure. Conclusions The multimethod ESDA approach provided unique insights into spatial and aspatial non-stationarities of COVID-19 incidence in Germany. BART and GAM modelling indicated that geographical configuration, built environment densities, socioeconomic characteristics, and infrastructure all exhibit associations with COVID-19 incidence in Germany when assessed at the county scale. The results suggest that measures to implement social distancing and reduce unnecessary travel may be important methods for reducing contagion, and the authors call for further research to investigate the observed associations to inform prevention and control policy.

Severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), threatens global public health. The world needs rapid development of new antivirals and vaccines to control the current pandemic and to control the spread of the variants. Among the proteins synthesized by the SARS-CoV-2 genome, main protease (M pro also known as 3CL pro ) is a primary drug target, due to its essential role in maturation of the viral polyproteins. In this study, we provide crystallographic evidence, along with some binding assay data, that three clinically approved anti hepatitis C virus drugs and two other drug-like compounds covalently bind to the M pro Cys145 catalytic residue in the active site. Also, molecular docking studies can provide additional insight for the design of new antiviral inhibitors for SARS-CoV-2 using these drugs as lead compounds. One might consider derivatives of these lead compounds with higher affinity to the M pro as potential COVID-19 therapeutics for further testing and possibly clinical trials.

To analyze crossdialectal variation between the use of a Present Perfect form (Pretérito Perfecto Compuesto) and a Perfective Past form (Pretérito Indefinido) in Spanish, we make use of two converging methodologies: (i) parallel corpus research, where we compare different translations of the same text (Harry Potter and the Philosopher’s Stone) into specific standardized written varieties of Spanish (Peninsular, Mexican, Argentinian), and (ii) an elicitation forced-choice task, where native speakers of each of the cities in which these standardized written norms are produced (Madrid, Mexico City, Buenos Aires) have to choose between the Pretérito Perfecto Compuesto and the Pretérito Indefinido as the most natural filler for a blank in contexts extracted from the novel. Results from these two tasks do not align completely. While the data from our parallel corpus work indicate a wider distribution of Perfect use in the Mexican translation than in the Peninsular and the Argentinian ones, the elicitation task shows that only the choices of the speakers of Madrid (Castilian Spanish) and Buenos Aires (Rioplatense Spanish) converge with their respective translations patterns. Since the distribution observed in the Mexican translation not only goes against the elicitation data, but also contradicts previous findings in the literature, we abandon it in further analyses. In the second part of the paper, through a detailed annotation of the Peninsular and Argentinian corpora, we show that the constraints allowing Perfect use in each of these standardized varieties respond only to some features previously advanced in the literature. While both dialects allow for experiential and resultative readings of the Pretérito Perfecto Compuesto, Castilian Spanish also prefers the use of this marker to locate an event in the hodiernal past. On the other hand, Rioplatense Spanish systematically defaults to the Pretérito Indefinido in these cases, displaying a more restricted distribution for the Perfect form. Both dialects also seem to exhibit a preference for the Pretérito Perfecto Compuesto in continuative contexts. Our work thus provides two crucial take-home messages: (i) understanding crossdialectal variation in written language is crucial for advancing crosslinguistic generalizations about tense-aspect phenomena; and (ii) combining parallel corpus and experimental methodologies can help us understand in a more thorough way the distribution of Perfect and (Perfective) Past forms across dialects.

The COVID-19 pandemic, instigated by the SARS-CoV-2 coronavirus, continues to plague the globe. The SARS-CoV-2 main protease, or M pro , is a promising target for the development of novel antiviral therapeutics. Previous X-ray crystal structures of M pro were obtained at cryogenic temperature or room temperature only. Here we report a series of high-resolution crystal structures of unliganded M pro across multiple temperatures from cryogenic to physiological, and another at high humidity. We interrogate these data sets with parsimonious multiconformer models, multi-copy ensemble models, and isomorphous difference density maps. Our analysis reveals a perturbation-dependent conformational landscape for M pro , including a mobile zinc ion interleaved between the catalytic dyad, mercurial conformational heterogeneity at various sites including a key substrate-binding loop, and a far-reaching intramolecular network bridging the active site and dimer interface. Our results may inspire new strategies for antiviral drug development to aid preparation for future coronavirus pandemics.

This study examined how non-suicidal self-injury disorder (NSSID) differs with respect to mental disorders, gender and attachment status in adolescent psychiatric patients. In particular, we analyzed attachment-related traumatic material underlying adolescent NSSID. Our sample consisted of 137 in-patient adolescents aged 12 to 18 years (73% female, Mage = 15.09, SD = 1.44; 27% male, Mage = 14.65, SD = 1.53). Forty-four patients (32.1%) fulfilled the diagnostic criteria for NSSID according to the DSM-5 and ninety-three patients (67.9%) did not meet diagnostic criteria for NSSID. Our results revealed a higher prevalence of NSSID in female patients and in patients with mood disorders. In the total sample, 52% of our in-patients were classified with an unresolved attachment status. The diagnostic subgroup analysis demonstrated a higher percentage of unresolved attachment status only in patients with eating disorders and NSSID. However, our in-depth analysis of the total sample revealed that patients with NSSID demonstrated more traumatic material in their attachment interviews indicating a greater severity of attachment trauma. In particular the theme of helplessness in interpersonal conflicts left them in a state of attachment dysregulation. Intervention strategies targeting traumatic attachment-related themes might be useful to reduce the number of adolescents engaging in NSSI. •High prevalence of NSSID in female psychiatric patients with mood disorders•Patients with NSSID demonstrated a greater severity of attachment trauma.•Higher percentage of unresolved attachment status in patients with eating disorders and NSSID•Traumatic attachment-related theme of helplessness in interpersonal conflicts was associated with NSSI behavior.•Addressing traumatic attachment-related themes might optimize treatment for adolescents with NSSID.

Spanish has a contrastive stress system with three major possibilities: antepenultimate, penultimate, and final stress. While penultimate and final stress are to some extent predictable, a major point of contention in the literature is whether antepenultimate stress assignment is rule-governed (Harris 1983; Roca 1991; i.a.). By examining different analogical and grammatically-informed models and their predictive power in capturing experimental data, I show that a Maximum Entropy model (Hayes & Wilson 2008) that includes syllable weight in its lexical representations is the best predictor of antepenultimate stress assignment. In doing so, I also dispute the claim that the trill in Spanish is a geminate tap (Harris 1983), and provide support for its status as a singleton consonant.

Advances in synchrotron technology are changing the landscape of macromolecular crystallography. The two recently opened beamlines at NSLS-II—AMX and FMX—deliver high-flux microfocus beams that open new possibilities for crystallographic data collection. They are equipped with state-of-the-art experimental stations and automation to allow data collection on previously intractable crystals. Optimized data collection strategies allow users to tailor crystal positioning to optimally distribute the X-ray dose over its volume. Vector data collection allows the user to define a linear trajectory along a well diffracting volume of the crystal and perform rotational data collection while moving along the vector. This is particularly well suited to long, thin crystals. We describe vector data collection of three proteins—Akt1, PI3Kα, and CDP-Chase—to demonstrate its application and utility. For smaller crystals, we describe two methods for multicrystal data collection in a single loop, either manually selecting multiple centers (using H108A-PHM as an example), or “raster-collect”, a more automated approach for a larger number of crystals (using CDP-Chase as an example).

The paper takes up core concepts developed by Max Weber in his comparative studies of world religions and civilizations, namely those of ‘relationship to the world’ (attitudes and stances towards the world), and ‘worldview’. The paper discusses the potentialities and limitations of Weber's approach, and the hermeneutics involved, taking the interpretation of Indian bhakti as a case of illustration. Against this background finally the paper proposes to reframe the concept of world relations as a core sociological concept and argues for a new strategy of how to understand the dynamics and complexities of religions in India.

The highly automated macromolecular crystallography beamline AMX/17‐ID‐1 is an undulator‐based high‐intensity (>5 × 1012 photons s−1), micro‐focus (7 µm × 5 µm), low‐divergence (1 mrad × 0.35 mrad) energy‐tunable (5–18 keV) beamline at the NSLS‐II, Brookhaven National Laboratory, Upton, NY, USA. It is one of the three life science beamlines constructed by the NIH under the ABBIX project and it shares sector 17‐ID with the FMX beamline, the frontier micro‐focus macromolecular crystallography beamline. AMX saw first light in March 2016 and started general user operation in February 2017. At AMX, emphasis has been placed on high throughput, high capacity, and automation to enable data collection from the most challenging projects using an intense micro‐focus beam. Here, the current state and capabilities of the beamline are reported, and the different macromolecular crystallography experiments that are routinely performed at AMX/17‐ID‐1 as well as some plans for the near future are presented. AMX (17‐ID‐1) is the highly automated macromolecular crystallography beamline at the NSLS‐II. Photon delivery system, beamline instrumentation, high‐performance computing environment and suites of applications are described for beamline scientists and users. AMX's primary mission is to support routine structure determination from the most challenging projects.