bluuebunny/crossref_metadata_2025_split huggingface dataset:
Herbal medicinal uses and their practices in human health care and livestock from district Haripur, Khyber Pakhtunkhwa, Pakistan
Authors: Siddique Zeeshan , Ahmed Hiwa M. , Hussein Khabat Noori , Hassan Khulod Ibraheem , Meena Bashdar I. 
Published: September 2022

AbstractBackgroundIn light of the increasing need, for global health care, traditional medical knowledge is receiving considerable attention in order to fulfil the public health needs not only for human health but also animal health.ObjectivesThus, the aim of the study is to explore ethnomedicinal uses of plants in human and livestock health care of the study area.MethodsData were gathered through arranged surveys and meeting techniques by focusing on 80 sources in the investigation region during 2018–2020. Quantitative ethnobotanical indices were calculated.ResultsEighty plant species (33 herbs, 21 shrubs, 24 trees and 2 climbers) belonging to 50 families, distributed in 74 genera, were being used in the study area. Forty‐nine medicinal plants in the treatment of 42 human diseases under 52 natural recipes and 40 plants in 34 livestock diseases under 40 recipes were used, in which 9 plants are used commonly in ethnopharmacy and veterinary medicine. Jaccard index was used to predict the similarity and dissimilarity among cities of Pakistan and reflected the novel use of medicinal plants. Results showed that Boerhavia diffusa, Centella asiatica, Morus nigra, Nasturtium officinale, Rumex hastatus and Sageretia thea have the higher use value (UV). Comparative analysis with other studies strongly reflected the novel use of these plants because of the deep‐rooted and unique sociocultural setup of study area.ConclusionsOur research shows that the wild plants used in the study area are extremely varied, both in terms of species and function, and folk medicine is one of the main health care systems in the area.
Molecular dynamics simulation study of drugs adsorption in UiO‐66
Authors: Li Jing , Liang Lijun , Zhou Hanxing , Zhang Pengzhen , Kong Zhe , Duan Xing 
Published: September 2022

AbstractMetal‐organic frameworks (MOFs) are novel porous materials that have been extensively used in sensors, catalysis, gas storage and separation, and drug deliver owing to their adjustable pore size, large surface area and high porosity. Among diverse MOFs, UiO‐66 can be a promising carrier for drug delivery due to high porosity and chemical stability. However, the adsorption mechanism of drugs in UiO‐66 has not been identified and need a further investigation. Hence, we utilized molecular dynamic (MD) simulation to investigate the adsorption mechanism of UiO‐66 as drug carriers. The MD simulation of UiO‐66 exhibits the busulfan loading of 80 %, ibuprofen of 20 % and 5‐fluorouracil of 30 %, respectively. We also demonstrated that the host‐guest interaction between UiO‐66 and drugs is dominated by the Van der Waals force. UiO‐66 shows the highest affinity for busulfan compared with ibuprofen and 5‐fluorouracil. In addition, it is certified the linear relation between the adsorption atoms and the interaction energy, which could help us to predict the interaction energy between drugs and UiO‐66 by the contact atoms.
Pinb-D1p is an elite allele for improving end-use quality in wheat (Triticum aestivum L.)
Authors: Chang Siyuan , Chen Qian , Yang Tao , Li Binyong , Xin Mingming , Su Zhenqi , Du Jinkun , Guo Weilong , Hu Zhaorong , Liu Jie , Peng Huiru , Ni Zhongfu , Sun Qixin , Yao Yingyin 
Published: September 2022

Abstract
Key message
We identified ten QTLs controlling SDS-SV trait in a RIL population derived from ND3331 and Zang1817. Pinb-D1p is an elite allele from Tibetan semi‑wild wheat for good end-use quality.

Abstract
Gluten strength is an important factor for wheat processing and end-product quality and is commonly characterized using the sodium dodecyl sulfate-sedimentation volume (SDS-SV) test. The objective of this study was to identify quantitative trait loci (QTLs) associated with wheat SDS-SV traits using a recombinant inbred line (RIL) population derived from common wheat line NongDa3331 (ND3331) and Tibetan semi-wild wheat accession Zang1817. We detected 10 QTLs controlling SDS-SV on chromosomes 1A, 1B, 3A, 4A, 4B, 5A, 5D, 6B and 7A, with individual QTLs explaining 2.02% to 15.53% of the phenotypic variation. They included four major QTLs, Qsdss-1A, Qsdss-1B.1, Qsdss-1B.2, and Qsdss-5D, whose effects on SDS-SV were due to the Glu-A1 locus encoding the high-molecular-weight glutenin subunit 1Ax1, the 1B/1R translocation, 1Bx7 + 1By8 at the Glu-B1 locus, and the hardness-controlling loci Pina-D1 and Pinb-D1, respectively. We developed KASP markers for the Glu-A1, Glu-B1, and Pinb-D1 loci. Importantly, we showed for the first time that the hardness allele Pinb-D1p positively affects SDS-SV, making it a good candidate for wheat quality improvement. These results broaden our understanding of the genetic characterization of SDS-SV, and the QTLs identified are potential target regions for fine-mapping and marker-assisted selection in wheat breeding programs.
RETRACTED ARTICLE: Barbaloin: an amazing chemical from the ‘wonder plant’ with multidimensional pharmacological attributes
Authors: Mitra Shreya Sikdar , Ghorai Mimosa , Nandy Samapika , Mukherjee Nobendu , Kumar Manoj , Radha  , Ghosh Arabinda , Jha Niraj Kumar , Proćków Jarosław , Dey Abhijit 
Published: September 2022

AbstractAloe vera (L.) Burm.f. is nicknamed the ‘Miracle plant’ or sometimes as the ‘Wonder plant’. It is a plant that has been used since ancient times for the innumerable health benefits associated with it. It is one of the important plants that has its use in conventional medicinal treatments. It is a perennial succulent, drought-tolerant member of the family Asphodelaceae. There are scores of properties associated with the plant that help in curing various forms of human ailments. Extracts and gels obtained from plants have been shown to be wonderful healers of different conditions, mainly various skin problems. Also, this plant is popular in the cosmetics industry. The underlying properties of the plant are now mainly associated with the natural phytochemicals present in the plant. Diverse groups of phytoingredients are found in the plant, including various phenolics, amino acids, sugars, vitamins, and different other organic compounds, too. One of the primary ingredients found in the plant is the aloin molecule. It is an anthraquinone derivative and exists as an isomer of Aloin A and Aloin B. Barbaloin belonging to the first group is a glucoside of the aloe-emodin anthrone molecule. Various types of pharmacological properties exhibited by the plant can be attributed to this chemical. Few significant ones are antioxidant, anti-inflammatory, anti-diabetic, anti-cancer, anti-microbial, and anti-viral, along with their different immunity-boosting actions. Recently, molecular coupling studies have also found the role of these molecules as a potential cure against the ongoing COVID-19 disease. This study comprehensively focuses on the numerous pharmacological actions of the primary compound barbaloin obtained from the Aloe vera plant along with the mechanism of action and the potent application of these natural molecules under various conditions.
Adolescents’ primary care consultations before and after parental suicide: evidence from population-wide data
Authors: Hart Rannveig K. , Christiansen Solveig Glestad , Reneflot Anne , Hauge Lars Johan 
Published: September 2022

AbstractParental bereavement is associated with distress and poorer long-term outcomes among adolescents. Adolescents who lose a parent to suicide fare worse than their peers even before bereavement. Based on the current literature, we cannot distinguish such initial differences from the medium and long-term effect of parental suicide. We study the impact of parental suicide on adolescents’ General Practitioner visits for mental health or psychosocial reasons. Within-individual models account for time-invariant differences between the bereaved and non-bereaved. We investigate if effects differ from the impact of parental death from other causes, and vary with sex and socioeconomic background. Full population data on Norwegian residents aged 10–19 in the period 2006–2015 are drawn from registers (N = 1 405 suicide bereaved, 12 982 bereaved by other causes, and 1 182 819 non-bereaved controls). Records include data on use of health services, parental mortality, and sociodemographic characteristics of parent and child. Mental health consultations increase gradually in the quarters leading up to the parental suicide, significantly more for girls than for boys. Two years prior to bereavement, 2.4% of the subsequently suicide bereaved have a mental health consultation in any given quarter. In the year of bereavement, this increases with 6% points. Health care workers should be aware that boys are less likely to turn to their GP for support before parental bereavement from suicide.
Assume, guarantee or repair: a regular framework for non regular properties
Authors: Frenkel Hadar , Grumberg Orna , Păsăreanu Corina S. , Sheinvald Sarai 
Published: September 2022

AbstractWe present Assume-Guarantee-Repair (AGR)—a novel framework which verifies that a program satisfies a set of properties and also repairs the program in case the verification fails. We consider communicating programs—these are simple C-like programs, extended with synchronous actions over communication channels. Our method, which consists of a learning-based approach to assume–guarantee reasoning, performs verification and repair simultaneously: in every iteration, AGR either makes another step towards proving that the (current) system satisfies the required properties, or alters the system in a way that brings it closer to satisfying the properties. To handle infinite-state systems we build finite abstractions, for which we check the satisfaction of complex properties that contain first-order constraints, using both syntactic and semantic-aware methods. We implemented AGR and evaluated it on various communication protocols. Our experiments present compact proofs of correctness and quick repairs.
Crucian carp (Carassius carassius (L.)), an anonymous fish with great skills
Authors: Olsén K. Håkan , Bonow Madeleine 
Published: September 2022

AbstractThe crucian carp (Carassius carassius) is a cyprinid fish with its natural distribution in Europe and the western part of Asia. Due to its hardiness and unique ability to survive winter anoxia, it has been translocated to small lakes and ponds, and in Northern Europe since medieval times has been used as a food source. Crucian carp was the only fish in the pond that survived anoxia. Small lakes and ponds with winter anoxia result in dense populations of stunted and slender fish. In lakes with other fish species present, the crucians’ numbers and densities are low and they grow to large sizes. In the presence of piscivores such as pike, crucians are deep bodied. The presence of pike-eating crucians, or the pike odors, induce a change in the body form of crucians. The change in body form makes it more difficult for pikes to swallow crucians and the handling time increases. Closely related invasive Carassius species have become a serious threat to crucian carp populations in Central-Eastern Europe and South-Eastern England through competition for space and food resources and hybridization. The crucian carp’s close relationship to goldfish (Carassius auratus), the most studied species concerning sex pheromones, has made it possible to demonstrate that sex pheromones are also present in a wild Carassius species and in their natural environment. The results indicate that two species use the same sex hormonal pheromone system. The crucian carp has become an important model for laboratory studies of olfaction and taste.
Computational advances in polynomial optimization: RAPOSa, a freely available global solver
Authors: González-Rodríguez Brais , Ossorio-Castillo Joaquín , González-Díaz Julio , González-Rueda Ángel M. , Penas David R. , Rodríguez-Martínez Diego 
Published: September 2022

AbstractIn this paper we introduce , a global optimization solver specifically designed for (continuous) polynomial programming problems with box-constrained variables. Written entirely in , is based on the Reformulation-Linearization (Sherali and Tuncbilek in J Glob Optim 103:225–249, 1992). We present a description of the main characteristics of along with a thorough analysis of the impact on its performance of various enhancements discussed in the literature, such as bound tightening and SDP cuts. We also present a comparative study with three of the main state-of-the-art global optimization solvers: , and .
Scarcity in today´s consumer markets: scoping the research landscape by author keywords
Authors: Sun Haoye , Teichert Thorsten 
Published: September 2022

AbstractScarcity refers to not having enough of what one needs. This phenomenon has shaped individuals´ life since ancient times, nowadays ranging from daily-life scarcity cues in shopping scenarios to the planet’s resources scarcity to meet the world´s consumer demand. Because of this ubiquity of scarcity, the topic has been attracting attention from scholars and practitioners in different areas. Studies regarding scarcity were conducted across disciplines, based on different assumptions, and focused on distinct study subjects. A lack of mainstream about this topic hindered the convergence of core ideas among different schools of thought. In this article, we take an integrative socio-economic perspective to join diverse findings on scarcity affecting consumer markets, identify topic-specific research questions still to be answered, and provide suggestions for future and integrative research opportunities. A systematic review based on author keywords from 855 publications analyzing scarcity affecting business-consumer interactions serves as a database. Exploratory factor analyses based on author keywords identify shared patterns within and linkages across discourses stemming from various disciplines and theories. Results differentiate distinct research foci in the consumer behavior, socio-political, and other disciplinary research realms. A mapping of these research themes identifies the scarcity-related interplay among consumers, producers, and other stakeholders. Findings point out research directions for future studies at both the research realm level and the interdisciplinary level.
Detection of intracranial aneurysms using deep learning-based CAD system: usefulness of the scores of CNN’s final layer for distinguishing between aneurysm and infundibular dilatation
Authors: Ishihara Makiko , Shiiba Masato , Maruno Hirotaka , Kato Masayuki , Ohmoto-Sekine Yuki , Antoine Choppin , Ouchi Yasuyoshi 
Published: September 2022

Abstract
Purpose
We evaluated the diagnostic performance of a clinically available deep learning-based computer-assisted diagnosis software for detecting unruptured aneurysms (UANs) using magnetic resonance angiography and assessed the functionality of the convolutional neural network (CNN) final layer score for distinguishing between UAN and infundibular dilatation (ID).

Materials and methods
EIRL brain aneurysm (EIRL_BA) was used in this study. The subjects were 117 UAN and/or ID cases including 100 UAN lesions (average sizes of 2.56 ± 1.45 mm) and 40 ID lesions (average sizes of 1.75 ± 0.41 mm) in any of internal carotid artery, middle cerebral artery, and anterior communicating artery, and 123 normal controls. The sensitivity, specificity, and accuracy of EIRL_BA were determined for UAN and ID or UAN only. Furthermore, the relationship between the lesion category and score was examined using a linear regression analysis model, and the receiver operating characteristic (ROC) analysis was used to assess whether the scores represent UAN-like characteristics.

Results
EIRL_BA showed a total of 203 candidates (an average of 1.73/case) in UAN and/or ID cases and 98 candidates (an average of 0.80/case) in normal controls. For diagnosing either UAN/ID, EIRL_BA showed an overall sensitivity of 80%, specificity of 84.2%, and accuracy of 83.7%, resulting in the positive likelihood ratio of 5.0. For diagnosing UAN only, the overall sensitivity of 89.0, specificity of 82.6%, and accuracy of 83.2% resulting in the positive likelihood ratio of 5.1. In a linear regression analysis, the scores significantly increased in the candidates’ first and second ranks in UAN (p < 0.05) but not in ID. An ROC analysis using the score for diagnosing UAN showed an area under the curve of 0.836.

Conclusion
EIRL_BA is applicable for detecting small UAN, and the CNN’s final layer scores may be an effective index for discriminating UAN and ID and representing the likelihood of UAN.
Evaluation of groundwater quality for agricultural under different conditions using water quality indices, partial least squares regression models, and GIS approaches
Authors: Masoud Milad , El Osta Maged , Alqarawy Abdulaziz , Elsayed Salah , Gad Mohamed 
Published: September 2022

AbstractEvaluating grouLindwater quality and associated hydrochemical properties is critical to manage groundwater resources in arid and semiarid environments. The current study examined groundwater quality and appropriateness for agriculture in the alluvial aquifer of Makkah Al-Mukarramah Province, Saudi Arabia, utilizing several irrigation water quality indices (IWQIs) such as irrigation water quality index (IWQI), total dissolved solids (TDS), sodium adsorption ratio (SAR), potential salinity (PS), magnesium hazard (MH), and residual sodium carbonate (RSC) assisted by multivariate modeling and GIS tools. One hundred fourteen groundwater wells were evaluated utilizing several physicochemical parameters, which indicating that the primary cation and anion concentrations were as follows: Na+ > Ca2+ > Mg2+ > K+, and Cl− > SO42˗ > HCO3˗ > NO3˗ > CO32˗, respectively, reflecting Ca–HCO3, Na–Cl, and mixed Ca–Mg–Cl–SO4 water facies under the stress of evaporation, saltwater intrusion, and reverse ion exchange processes. The IWQI, TDS, SAR, PS, MH, and RSC across two studied regions had mean values of 64.86, 2028.53, 4.98, 26.18, 38.70, and − 14.77, respectively. For example, the computed IWQI model indicated that approximately 31% of samples fell into the no restriction range, implying that salinity tolerance crops should be avoided, while approximately 33% of samples fell into the low to moderate restriction range, and approximately 36% of samples fell into the high to severe restriction range for irrigation, implying that moderate to high salt sensitivity crops should be irrigated in loose soil with no compacted layers. The partial least squares regression model (PLSR) produced a more accurate assessment of six IWQIs based on values of R2 and slope. In Val. datasets, the PLSR model generated strong estimates for six IWQIs with R2 varied from 0.72 to 1.00. There was a good slope value of the linear relationship between measured and predicted for each parameter and the highest slope value (1.00) was shown with RSC. In the PLSR models of six IWQIs, there were no overfitting or underfitting between the measuring, calibrating, and validating datasets. In conclusion, the combination of physicochemical characteristics, WQIs, PLSR, and GIS tools to assess groundwater suitability for irrigation and their regulating variables is beneficial and provides a clear picture of water quality.
Explainable AI lacks regulative reasons: why AI and human decision-making are not equally opaque
Authors: Peters Uwe 
Published: September 2022

AbstractMany artificial intelligence (AI) systems currently used for decision-making are opaque, i.e., the internal factors that determine their decisions are not fully known to people due to the systems’ computational complexity. In response to this problem, several researchers have argued that human decision-making is equally opaque and since simplifying, reason-giving explanations (rather than exhaustive causal accounts) of a decision are typically viewed as sufficient in the human case, the same should hold for algorithmic decision-making. Here, I contend that this argument overlooks that human decision-making is sometimes significantly more transparent and trustworthy than algorithmic decision-making. This is because when people explain their decisions by giving reasons for them, this frequently prompts those giving the reasons to govern or regulate themselves so as to think and act in ways that confirm their reason reports. AI explanation systems lack this self-regulative feature. Overlooking it when comparing algorithmic and human decision-making can result in underestimations of the transparency of human decision-making and in the development of explainable AI that may mislead people by activating generally warranted beliefs about the regulative dimension of reason-giving.
Strengthening the architectural identity of Makkah Al-Mukarramah’s buildings: an assessment of the impact of laws and regulations
Authors: AL-Zahrani Mesfer Ali M. , Shawky Abou Leila Mohamed M. 
Published: September 2022

AbstractThe Kingdom of Saudi Arabia’s future vision (Vision 2030) focuses on the enhancement of the urban and architectural identity of cities, where in (2022) King Salman Charter for Architecture and Urbanism was issued to improve residents’ quality of life through the establishment of architectural environments that emphasize cultural and environmental heritage while also simulating future developments. Makkah Al-Mukarramah is distinguished by its religious uniqueness being the ground of the Holy Mosque and a set of natural factors, all of this influenced the formation of its distinctive architectural identity over time, However, for the sake of development projects, and expansion of the Haram Al-Sharif, demolition of many of Makkah’s old neighborhoods occurred leading to declining the city’s historical urban fabric, this development was governed by regulations and rules that focusing only on organizational aspects without considering the architectural identity. This crystallizes the research problem in two main points: “What are the regulations and legislation that led to Makkah losing its distinctive architectural identity?” What function may legislation and laws possibly play in the long-term rehabilitation of Makkah’s distinct architectural identity? The purpose of this research is to define the architectural and urban identity, as well as the major factors that influence them. Also, investigate the impact of the urban development of Makkah on the city’s architectural identity. And the extraction of design requirements for the control of architectural identity. The research uses a theoretical approach to understand the principles of architectural identity and character, as well as to measure the influence of laws and regulations on preserving and enhancing the architectural identity. a descriptive-analytical approach to analyze the laws and regulations related to the architectural identity of several selected cities; to come at a set of criteria that contribute to preserving the identity, following that, a questionnaire is developed for the opinion of academic architects as well as engineers specialized in this field, to try to find the flaw that caused the loss of character and to make some recommendations to correct the flaws caused by lack of attention to architectural identity.