bluuebunny/crossref_metadata_2025_split huggingface dataset:
Agricultural big data and methods and models for food security analysis—a mini-review
Authors: Ammar Khalil A. , Kheir Ahmed M.S. , Manikas Ioannis 
Published: June 2022

Background
Big data and data analysis methods and models are important tools in food security (FS) studies for gap analysis and preparation of appropriate analytical frameworks. These innovations necessitate the development of novel methods for collecting, storing, processing, and extracting data.

Methodology
The primary goal of this study was to conduct a critical review of agricultural big data and methods and models used for FS studies published in peer-reviewed journals since 2010. Approximately 130 articles were selected for full content review after the pre-screening process.

Results
There are different sources of data collection, including but not limited to online databases, the internet, omics, Internet of Things, social media, survey rounds, remote sensing, and the Food and Agriculture Organization Corporate Statistical Database. The collected data require analysis (i.e., mining, neural networks, Bayesian networks, and other ML algorithms) before data visualization using Python, R, Circos, Gephi, Tableau, or Cytoscape. Approximately 122 models, all of which were used in FS studies worldwide, were selected from 130 articles. However, most of these models addressed only one or two dimensions of FS (i.e., availability and access) and ignored the other dimensions (i.e., stability and utilization), creating a gap in the global context.

Conclusions
There are certain FS gaps both worldwide and in the United Arab Emirates that need to be addressed by scientists and policymakers. Following the identification of the drivers, policies, and indicators, the findings of this review could be used to develop an appropriate analytical framework for FS and nutrition.
\(200 ^{th}\) Birth Anniversary of the Genetics Founder Gregor Mendel; Art Medals
Authors: Barshteyn Victor , Blume Yaroslav 
Published: June 2022

Objective: To explore and introduce into scientific circulation art medals ˗ tangible historical sources studied by medal art, a section of the special historical discipline of numismatics, related to the life and work of Gregor Mendel.
Place and Duration of the Study: Institute of Food Biotechnology and Genomics of the National Academy of Sciences of Ukraine, from January to April 2022.
Methodology: Both general scientific (historical, logical) and special (subject-chronological, retrospective) methods were used in the work. Numismatic and biological literature, materials of international numismatic auctions, and websites of world mints have been studied.
Results: Art medals of the Czech Republic, the USA, Germany, Austria, Portugal and the European Community relating to life and scientific heritage of Gregor Mendel have been studied and described.
Conclusion: The study has become a new step in the development of the history of biological science, supplementing the knowledge of the artistic reflection of the origins of genetics in the art of medal. Material historical sources ˗ art medals, enabled us to capture the pages of the biography and scientific work of Gregor Mendel in a new plane, introducing the medals into scientific (biological) circulation.
Substance Use Disorders: Suicide and Self-Harm
Authors: El-Morsy Nahla Abdalla , Ghareb Wessam Abd Al-Salam , Shama Gamal Taha , Alsawy Hossam El-Den Fathalla 
Published: June 2022

Aims: To specify the demographic and risk factors and type of the substance use disorders most common with suicidal behaviors and self-harm.
Study Design: Observational cross-sectional research.
Place and Duration of Study: Neuropsychiatry Department and Psychiatry, Neurology and neurosurgery center, Tanta University, Tanta, Egypt. The study was conducted for duration of 6 months from January 2019 to June 2019.
Methodology: This was enrolled 105 aged 18-50 years to assess the type of substance use disorders most common with suicidal behaviours and self-harm with any duration of illness. Subjects were divided into three equal groups: Group 1 included healthy control subjects with no addiction or psychiatric problems with no history suggestive of any health problems. Group 2 included patients with substance use disorders (addict group). Group 3 included psychiatric patients without substance use disorders. All patients were subjected to addiction severity index, Beck Depression Inventory-II, Hamilton Anxiety Rating Scale, Suicide probability scale, Barratt's impulsiveness scale, Self-Harm diagnosis scale and the positive and negative syndrome scale.
Results: There was a significantly different in the suicide categories among the cases with and without heroin intake (p=0.038). There was a significantly positive correlation among addiction severity index (ASI) and suicide score in the addiction group.
Conclusion: The incidence of anxiety and depression among individuals with substance use disorders is notably high, particularly at severe levels. We found also positive correlations between ASI and both suicide and self-harm scores in the addiction group. Depression and anxiety are frequently co-occurring in SUD patients.
Role of Three‐dimensional Power Doppler Ultrasonography in Diagnosis of Placenta Accreta Versus Two‐dimensional and Color Doppler Ultrasonography
Authors: Elshorbagy Nabila A. , Elsokary Aml A. , Hefeda Mohamed M. , Soliman Ahmed T. 
Published: June 2022

Background: Placenta accreta is a condition of abnormal placental implantation in which the placental tissue invades beyond the decidua basalis. It may invade into or even through the myometrium and adjacent organs, such as the urinary bladder. It is a major cause of obstetric hemorrhage and complication leading to significant maternal morbidity and mortality. The aim of this study is to compare the role of three-dimensional power Doppler ultrasonography in the antenatal diagnosis of placenta accreta versus two-dimensional and color Doppler ultrasonography.
Methods: A prospective comparative study design was conducted.
This study was performed on 50 Pregnant females at the Department of Obstetrics and Gynecology, Tanta University Hospitals
Inclusion Criteria: Patients with placenta previa and previous one or more ceserian section at gestational age from 28 weeks to 36 weeks.
The diagnosis of placenta previa confirmed using all diagnostic techniques (gray scale, color Doppler, and 3D power Doppler) and full availability of delivery information.
Results: abnormal placental lacunae was most frequently encountered in 2D gray scale ultrasound as it was noted in 12 (24.0%) patients, thinning or disruption of hyperechoic serosa-bladder interface was detected in 8 (16.0 %) patients, loss of retroplacental sonolucent zone was detected in 7 (14.0 %) patients, irregular retroplacental sonolucent zone was noted in 5 (10.0%) patients, while presence of focal exophytic masses invading the urinary bladder was the least encountered as it was noted in 4 (8.0 %) patients.
The 2D gray scale initially diagnose 52.0% of study participants as placenta accreta and 48.0% as had no placenta accreta.
Conclusions: There is no one imaging modality that provides the gold standard for diagnosing placental invasion. A high index of clinical suspicion is required for its detection in high risk patients. In contemporary obstetrical practice, this applies to patients with previous caesarean sections, and especially if there is a coexisting anterior low-lying placenta. A probable case of morbidly adherent placenta will benefit from preoperative multidisciplinary input and perioperative measures in preparation for an elective planned delivery
Fuzzy‐based adaptive control design for stochastic nonlinear time‐delay systems via event‐triggered mechanism
Authors: Liu Yongchao , Zeng Bowen , Zhu Qidan , Liu Di 
Published: June 2022

SummaryThis article elaborates an adaptive fuzzy event‐triggered control design for stochastic nonlinear time‐delay systems with full‐state constraints. The prescribed constraints are ensured by employing barrier Lyapunov function. The fuzzy logic systems are exploited to approximate lumped unknown nonlinear functions. By cleverly choosing Lyapunov–Krasovskii functional, the adverse effect of time‐delay is effectively overcome. Meanwhile, the event‐triggered mechanism is adopted to save communication resource. It is illustrated that all signals of the controlled system are bounded and all states are maintained the prescribed regions at every step of recursive backstepping design. Finally, simulation results elucidate the validity of the devised scheme.
Structurally Engineered Anisotropic Cobalt‐Based Nanostructures for Efficient Chlorine and Oxygen Evolution
Authors: Rana Supriya , Yadav Krishna K. , Sunaina  , Mehta Surinder K. , Jha Menaka 
Published: June 2022

AbstractElectrochemical Cl2 generation using inexpensive electrocatalysis has drawn tremendous scientific attention to meet the future demand for chlorine. The present work deals with the design of the chemical process to synthesize anisotropically aligned metallic hcp‐cobalt nanoparticles. The as‐obtained hcp‐cobalt rods are utilized for the generation of O2 and Cl2 via an electrochemical process. Controlling the thermodynamic parameters during the thermal decomposition of cobalt oxalate rods leads to the formation of aligned nanoparticles. Detailed microscopic investigation shows that the slow heating rate favors the anisotropic growth of nanoparticles, and the fast‐heating rate leads to the formation of agglomerated nanoparticles. Anisotropically aligned hcp‐Co rods show an overpotential of 240 and 30 mV for O2 and Cl2 evolution, respectively. These findings elaborate that aligned particles (rod‐like structures) show promising electrocatalysts with better efficiency for O2 and Cl2 generation. Further, wastewater treatment is done by using in situ generated chlorine and 99% degradation efficiency is observed for textile effluents (methyl orange).
High‐Barrier‐Height Ti3C2Tx/Si Microstructure Schottky Junction‐Based Self‐Powered Photodetectors for Photoplethysmographic Monitoring
Authors: Song Longmei , Xu Enze , Yu Yongqiang , Jie Jianyong , Xia Yu , Chen Shirong , Jiang Yang , Xu Gaobin , Li Dachuang , Jie Jiansheng 
Published: June 2022

AbstractA high Schottky barrier height (ΦB) is one of the essential prerequisites for achieving high‐performance self‐powered Schottky‐barrier diode (SBD)‐based photodetector. The ΦB value is predominantly determined by the metal function and interface quality of the metal/semiconductor contact. 2D MXenes with adjustable work functions and dangling bond‐free properties are promising building blocks for constructing self‐powered SBD with high ΦB. Herein, a novel Ti3C2Tx MXene/Si hexagonal microhole array (SiHMA) van der Waals SBD is developed for the first time via a feasible solution process. Significantly, the device possesses a large ΦB up to ≈1.07 eV, which is among the highest for the Si‐based SBD. In consequence, the Ti3C2Tx/SiHMA SBD yields a large responsivity up to 302 mA W−1 and detectivity as high as 5.4 × 1013 Jones in a self‐powered model, surpassing the performance of most 2D material/Si photodiodes reported to date. Furthermore, it is demonstrated that featured and reliable fingertip photoplethysmogram (PPG) signals can be detected using the self‐powered SBD, enabling us to further accurately extract the heart rate (HR), and blood pressures (BP) using the PPG‐only method. This work paves the way for the construction of high‐performance MXenes‐based self‐powered SBDs for health monitoring.
Implementation beyond the clinic: Community‐driven utilization of research evidence from PC CARES, a suicide prevention program
Authors: White Lauren A. , Wexler Lisa , Weaver Addie , Moto Roberta , Kirk Tanya , Rataj Suzanne , Trout Lucas , McEachern Diane 
Published: June 2022

AbstractWhile implementation and dissemination of research is a rapidly growing area, critical questions remain about how, why, and under what conditions everyday people integrate and utilize research evidence. This mixed‐methods study investigates how participants of Promoting Community Conversations About Research to End Suicide (PC CARES) make sense of and use research evidence about suicide prevention in their own lives. PC CARES is a health intervention addressing the need for culturally responsive suicide prevention practices in rural Alaska through a series of community Learning Circles. We analyzed PC CARES transcripts and surveys for 376 participants aged 15+ across 10 Northwest Alaska Native villages. Quantitative analysis showed significant correlations between five utilization of research evidence (URE) factors and participants' intent to use research evidence from PC CARES Learning Circles. Key qualitative themes from Learning Circle transcripts expanded upon these URE constructs and included navigating discordant information, centering relationships, and Indigenous worldviews as key to interpreting research evidence. We integrate and organize our findings to inform two domains from the Consolidated Framework for Research Implementation: (1) intervention characteristics and (2) characteristics of individuals, with emphasis on findings most relevant for community settings where self‐determined, evidence‐informed action is especially important for addressing health inequities.
A Versatile Chemoenzymatic Nanoreactor that Mimics NAD(P)H Oxidase for the In Situ Regeneration of Cofactors
Authors: Rodriguez‐Abetxuko Andoni , Reifs Antonio , Sánchez‐deAlcázar Daniel , Beloqui Ana 
Published: June 2022

AbstractHerein, we report a multifunctional chemoenzymatic nanoreactor (NanoNOx) for the glucose‐controlled regeneration of natural and artificial nicotinamide cofactors. NanoNOx are built of glucose oxidase‐polymer hybrids that assemble in the presence of an organometallic catalyst: hemin. The design of the hybrid is optimized to increase the effectiveness and the directional channeling at low substrate concentration. Importantly, NanoNOx can be reutilized without affecting the catalytic properties, can show high stability in the presence of organic solvents, and can effectively oxidize assorted natural and artificial enzyme cofactors. Finally, the hybrid was successfully coupled with NADH‐dependent dehydrogenases in one‐pot reactions, using a strategy based on the sequential injection of a fuel, namely, glucose. Hence, this study describes the first example of a hybrid chemoenzymatic nanomaterial able to efficiently mimic NOx enzymes in cooperative one‐pot cascade reactions.
In situ Synthesis of Supramolecular Polymers: Finding the Right Conditions when Combining Covalent and Non‐Covalent Synthesis
Authors: Schnitzer Tobias , Jansen S. A. H. , Mabesoone Mathijs F. J. , Vantomme Ghislaine , Meijer E. W. 
Published: June 2022

AbstractThe combination of covalent and non‐covalent synthesis is omnipresent in nature and potentially enables access to new materials. Yet, the fundamental principles that govern such a synthesis are barely understood. Here, we demonstrate how even simple reaction mixtures behave surprisingly complex when covalent reactions are coupled to self‐assembly processes. Specifically, we study the reaction behavior of a system in which the in situ formation of discotic benzene‐1,3,5‐tricarboxamide (BTA) monomers is linked to an intertwined non‐covalent reaction network including self‐assembly into helical BTA polymers. This system shows an unexpected phase‐separation behavior in which an interplay of reactant/product concentrations, side‐products and solvent purity determines the system composition. We envision that these insights can bring us one step closer to how to design the synthesis of systems in a combined covalent/non‐covalent fashion.
Atomically Dispersed MoOx on Rhodium Metallene Boosts Electrocatalyzed Alkaline Hydrogen Evolution
Authors: Wu Jiandong , Fan Jinchang , Zhao Xiao , Wang Ying , Wang Dewen , Liu Hongtai , Gu Lin , Zhang Qinghua , Zheng Lirong , Singh David J. , Cui Xiaoqiang , Zheng Weitao 
Published: June 2022

AbstractAccelerating slow water dissociation kinetics is key to boosting the hydrogen evolution reaction (HER) in alkaline media. We report the synthesis of atomically dispersed MoOx species anchored on Rh metallene using a one‐pot solvothermal method. The resulting structures expose the oxide‐metal interfaces to the maximum extent. This leads to a MoOx‐Rh catalyst with ultrahigh alkaline HER activity. We obtained a mass activity of 2.32 A mgRh−1 at an overpotential of 50 mV, which is 11.8 times higher than that of commercial Pt/C and surpasses the previously reported Rh‐based electrocatalysts. First‐principles calculations demonstrate that the interface between MoOx and Rh is the active center for alkaline HER. The MoOx sites preferentially adsorb and dissociate water molecules, and adjacent Rh sites adsorb the generated atomic hydrogen for efficient H2 evolution. Our findings illustrate the potential of atomic interface engineering strategies in electrocatalysis.
High‐Performance Lithium–Oxygen Batteries Using a Urea‐Based Electrolyte with Kinetically Favorable One‐Electron Li2O2 Oxidation Pathways
Authors: Sun Zongqiang , Lin Xiaodong , Wang Chutao , Hu Ajuan , Hou Qing , Tan Yanyan , Dou Wenjie , Yuan Ruming , Zheng Mingsen , Dong Quanfeng 
Published: June 2022

AbstractGlymes are the most widely used electrolyte solvents in lithium–oxygen batteries (LOBs) due to their relatively high stability. However, their associated LOBs have long been plagued by large charge overpotential, which is closely related to the sluggish two‐electron Li2O2 oxidation mechanism. Here, we report a new electrolyte solvent—1,1,3,3‐tetramethylurea (TMU) for LOBs with high performance and an alternative mechanism, where a kinetically favorable one‐electron Li2O2 oxidation pathway can happen in the urea electrolyte system, thus leading to a much lower charge overpotential (≈0.51 V) compared to the tetraglyme‐based LOBs (≈1.27 V). Besides, TMU also exhibits good stability since it does not contain any α‐hydrogen atoms that are vulnerable to be attacked by superoxide species, thus suppressing the hydrogen abstraction side reactions. Consequently, the TMU‐based LOBs can stably work for more than 135 cycles, which is four times that of the tetraglyme‐based LOBs (≈28 cycles).
Biological functions of kojic acid and its derivatives in medicine, cosmetics, and food industry: Insights into health aspects
Authors: Brtko Julius 
Published: June 2022

AbstractThis review traces the road leading to the demonstration of a variety of kojic acid chemical and biological properties. It illustrates the biological effects of several synthetic kojic acid derivatives. Besides the main capability of kojic acid to inhibit the activity of tyrosinase in melanin synthesis, the focus is also on antibacterial, antifungal, antiproliferative, anti‐inflammatory, and other biological activities of kojic acid derivatives, which may be applicable in medicine. Kojic acid derivatives manifest antiparasitic effects and its metal complexes may serve as potential radioprotective agents. Several kojic acid derivatives exert antidiabetic therapeutic potential as nuclear peroxisome proliferator‐activated receptor alpha/gamma dual agonists. Kojic acid derivatives show pancreatic lipase inhibitor properties and some of its derivatives are cognate ligands for the histamine H3 receptor. Recently, “KojoTacrines” were reported as novel perspective preparations for the therapy of Alzheimer's disease. Kojic acid derivatives possess insecticidal or pesticidal activity, and they are powerful chelators, able to form iron(III) containing nanocomposites, as well. Toxicology and health aspects of products containing kojic acid produced by the cosmetic, health care, or food industry are summarized. Kojic acid thus represents a highly attractive molecule containing a skeleton that allows the synthesis of new kojic acid derivatives to create a novel class of effective and specific pharmaceutical preparations.
Alterations of the Primary Cilia Gene SPAG17 and SOX9 Locus Noncoding RNAs Identified by RNA‐Sequencing Analysis in Patients With Systemic Sclerosis
Authors: Roberson Elisha D. O. , Carns Mary , Cao Li , Aren Kathleen , Goldberg Isaac A. , Morales‐Heil David J. , Korman Benjamin D. , Atkinson John P. , Varga John 
Published: June 2022

ObjectiveSystemic sclerosis (SSc) is characterized by immune activation, vasculopathy, and unresolving fibrosis in the skin, lungs, and other organs. We performed RNA‐sequencing analysis on skin biopsy samples and peripheral blood mononuclear cells (PBMCs) from SSc patients and unaffected controls to better understand the pathogenesis of SSc.MethodsWe analyzed these data 1) to test for case/control differences and 2) to identify genes whose expression levels correlate with SSc severity as measured by local skin score, modified Rodnan skin thickness score (MRSS), forced vital capacity (FVC), or diffusing capacity for carbon monoxide (DLco).ResultsWe found that PBMCs from SSc patients showed a strong type I interferon signature. This signal was found to be replicated in the skin, with additional signals for increased extracellular matrix (ECM) genes, classical complement pathway activation, and the presence of B cells. Notably, we observed a marked decrease in the expression of SPAG17, a cilia component, in SSc skin. We identified genes that correlated with the MRSS, DLco, and FVC in SSc PBMCs and skin using weighted gene coexpression network analysis. These genes were largely distinct from the case/control differentially expressed genes. In PBMCs, type I interferon signatures negatively correlated with the DLco. In SSc skin, ECM gene expression positively correlated with the MRSS. Network analysis of SSc skin genes that correlated with clinical features identified the noncoding RNAs SOX9‐AS1 and ROCR, both near the SOX9 locus, as highly connected, “hub‐like” genes in the network.ConclusionThese results identify noncoding RNAs and SPAG17 as novel factors potentially implicated in the pathogenesis of SSc.
Substituent Effects at the 5,10‐Positions of Dianilinotripyrrins on Their Dimerization Themodynamics
Authors: Nishiyama Ayane , Ueta Kento , Umetani Masataka , Akamatsu Yuki , Tanaka Takayuki 
Published: June 2022

AbstractControl of the association behavior by molecular design is one of the most essential benefits in artificial supramolecular systems. 1,14‐Dianilinotripyrrin has recently emerged as a novel conjugated molecule which forms a double helix in non‐polar solvents with the aid of multiple interstrand hydrogen bonding interactions. In this work, we investigated the substituent effects at the 5,10‐positions of tripyrrin on their association thermodynamics. This study illuminated two key findings; 1) electronic tuning by the para‐substituents reduce the entropic costs thereby slightly improve the association constants, and 2) ortho‐substituents force the tripyrrin core to be relatively planar, which significantly decreases the association constant due to less feasible π‐stacking.