Miracle-dz/UniFAR-FTUs huggingface dataset:
Insights into hominid evolution from the gorilla genome sequence Supplementary Information

1 Insights into hominid evolution from the gorilla genome sequence Supplementary Information Aylwyn Scally et al. Some supplementary tables referred to in this document are found in separate Supplementary files: Family Hominidae (hominids; extant great apes) Subfamily Homininae (hominines; extant African great apes) Ponginae (pongines) Tribe Hominini (hominins) Panini (panins) Gorillini (gorillins) Pongini (pongins) Genus Homo Pan Gorilla Pongo Species H. sapiens (modern human) P. troglodytes (chimpanzee) P. paniscus (bonobo) G. gorilla (Western gorilla) G. beringei (Eastern gorilla) P. pygmaeus (Bornean orangutan) P. abelii (Sumatran orangutan) Table ST1.1. Taxonomy of the extant great ape family, following Wood and Harrison (Wood and Harrison 2011). Publicly available reference genomes exist for species in boldface. (Pongo abelii was formerly designated P. pygmaeus abelii, a subspecies of P. pygmaeus, but is now accepted as a separate species (Singleton et al. 2008). )
Digital Supply Chain Management: A Study on Bangladeshi Fashion and Accessories Industry’s E-retailers

-This study aims to examine the challenges faced by e-retailers in the Bangladeshi fashion and accessories industry's supply chain and explore the potential benefits of integrating digital supply chain management systems. The study addresses the gap in understanding the obstacles hindering the growth of e-commerce within the fashion and accessories sector in Bangladesh and the potential solutions to improve supply chain efficiency. Qualitative research methods were employed, involving interviews with 55 e-retailers and thematic analysis to assess the data. The research reveals sourcing challenges and lengthy lead times as significant barriers in the industry. It also highlights the positive impact of digital supply chain systems on delivery efficiency, with a low adoption rate among e-retailers. The findings suggest that by implementing integrated information-sharing systems within the supply chain could revolutionize the e-commerce fashion and accessories industry in Bangladesh, improving responsiveness and reducing lead times. However, overcoming e-retailers' reluctance to adopt these systems remains a challenge.
Automatic Guitar Transcription with a Composable Audio-to-MIDI-to-Tablature Architecture

— This work-in-progress demonstrates an end-to-end guitar transcription system. The architecture takes as input a solo guitar recording, transcribes the audio to MIDI, and then estimates a tablature for the performance. The audio-to-MIDI transcription exhibits strong generalisability, including state-of-the-art performance on GuitarSet in a zero-shot setting. The tablature estimation is a novel approach applying masked language modeling to per-note string assignment
Dissemination Strategies for mHealth Apps: Systematic Review

Background Among the millions of mobile apps in existence, thousands fall under the category of mobile health (mHealth). Although the utility of mHealth apps has been demonstrated for disease diagnosis, treatment data management, and health promotion strategies, to be effective they must reach and be used by their target audience. An appropriate marketing strategy can ensure that apps reach potential users and potentially convert them to actual users. Such a strategy requires definitions of target end users, communication channels, and advertising content, as well as a timeline for effectively reaching and motivating end users to adopt and maintain engagement with the mHealth app. Objective The aim of this study was to identify strategies and elements that ensure that end users adopt and remain engaged with mHealth apps. Methods A systematic search of the PubMed, PsycINFO, Scopus, and CINAHL databases was conducted for suitable studies published between January 1, 2018, and September 30, 2022. Two researchers independently screened studies for inclusion, extracted data, and assessed the risk of bias. The main outcome was dissemination strategies for mHealth apps. Results Of the 648 papers retrieved from the selected databases, only 10 (1.5%) met the inclusion criteria. The marketing strategies used in these studies to inform potential users of the existence of mHealth apps and motivate download included both paid and unpaid strategies and used various channels, including social media, emails, printed posters, and face-to-face communication. Most of the studies reported a combination of marketing concepts used to advertise their mHealth apps. Advertising messages included instructions on where and how to download and install the apps. In most of the studies (6/10, 60%), instructions were oriented toward how to use the apps and maintain engagement with a health intervention. The most frequently used paid marketing platform was Facebook Ads Manager (2/10, 20%). Advertising performance was influenced by many factors, including but not limited to advertising content. In 1 (10%) of the 10 studies, animated graphics generated the greatest number of clicks compared with other image types. The metrics used to assess marketing strategy effectiveness were number of downloads; nonuse rate; dropout rate; adherence rate; duration of app use; and app usability over days, weeks, or months. Additional indicators such as cost per click, cost per install, and clickthrough rate were mainly used to assess the cost-effectiveness of paid marketing campaigns. Conclusions mHealth apps can be disseminated via paid and unpaid marketing strategies using various communication channels. The effects of these strategies are reflected in download numbers and user engagement with mHealth apps. Further research could provide guidance on a framework for disseminating mHealth apps and encouraging their routine use.
Interventions for Children With ASD: Recommended Guidelines

OBJECTIVE: To use the ﬁ ndings of a systematic review of scienti ﬁ c evidence to develop consensus guidelines on nonmedical interventions that address cognitive function and core de ﬁ cits in children with autism spectrum disorders (ASDs) and to recommend priorities for future research. METHODS: The guidelines were developed by a Technical Expert Panel (TEP) consisting of practitioners, researchers, and parents. A systematic overview of research ﬁ ndings was presented to the TEP; guideline statements were drafted, discussed, debated, edited, reassessed, and presented for formal voting. RESULTS: The strength of evidence of ef ﬁ cacy varied by intervention type from insuf ﬁ cient to moderate. There was some evidence that greater intensity of treatment (hours per week) and greater duration (in months) led to better outcomes. The TEP agreed that children with ASD should have access to at least 25 hours per week of comprehensive intervention to address social communication, language, play skills, and maladaptive behavior. They agreed that applied behavioral analysis, integrated behavioral/developmental programs, the Picture Exchange Communication System, and various social skills interventions have shown ef ﬁ cacy. Based on identi ﬁ ed gaps, they recommend that future research focus on assessment and monitoring of outcomes, addressing the needs of pre/nonverbal children and adolescents, and identifying the most effective strategies, dose, and duration to improve speci ﬁ c core de ﬁ cits. CONCLUSIONS: The creation of treatment guidelines and recommendations for future research represents an effort by leading experts to improve access to services for children with ASDs while acknowledging that the research evidence has many gaps. Pediatrics 2012;130:S169 – S178
Validation of a risk strati ﬁ cation tool for fall-related injury in a state-wide cohort

Objective: A major preventable contributor to healthcare costs among older individuals is fall-related injury. We sought to validate a tool to stratify such risk based on readily available clinical data, including projected medication adverse effects, using state-wide medical claims data. Design: Sociodemographic and clinical features were drawn from health claims paid in the state of Massachusetts for individuals aged 35 – 65 with a hospital admission for a period spanning January – December 2012. Previously developed logistic regression models of hospital readmission for fall-related injury were refit in a testing set including a randomly selected 70% of individuals, and examined in a training set comprised of the remaining 30%. Medications at admission were summarised based on reported adverse effect frequencies in published medication labelling. Setting: The Massachusetts health system. Participants: A total of 68 764 hospitalised individuals aged 35 – 65 years. Primary Measures: Hospital readmission for fall-related injury defined by claims code. Results: A total of 2052 individuals (3.0%) were hospitalised for fall-related injury within 90 days of discharge, and 3391 (4.9%) within 180 days. After recalibrating the model in a training data set comprised of 48 136 individuals (70%), model discrimination in the remaining 30% test set yielded an area under the receiver operating characteristic curve (AUC) of 0.74 (95% CI 0.72 to 0.76). AUCs were similar across age decades (0.71 to 0.78) and sex (0.72 male, 0.76 female), and across most common diagnostic categories other than psychiatry. For individuals in the highest risk quartile, 11.4% experienced fall within 180 days versus 1.2% in the lowest risk quartile; 57.6% of falls occurred in the highest risk quartile. Conclusions: This analysis of state-wide claims data demonstrates the feasibility of predicting fall-related injury requiring hospitalisation using readily available sociodemographic and clinical details. This translatable approach to stratification allows for identification of high-risk individuals in whom interventions are likely to be cost-effective.
Limited Inﬂuence of Abiotic and Biotic Factors on the Efﬁcacy of Soil Insecticides and Entomopathogenic Nematodes When Managing the Maize Pest Diabrotica v. virgifera (Coleoptera: Chrysomelidae)

: Diabrotica virgifera virgifera (Coleoptera: Chrysomelidae) is a serious pest that infects maize. Insecticides or entomopathogenic nematodes are used to control the root-damaging larvae. However, such treatments are reportedly inconsistent in terms of efﬁcacy under farming conditions. To better understand the reasons behind these inconsistencies, we studied the control efﬁcacy of seed coatings, such as clothianidin; granular soil insecticides, such as cypermethrin and teﬂuthrin; and ﬂuid-applied entomopathogenic nematodes, such as Heterorhabditis bacteriophora (Rhabditida: Heterorhabditidae). We assessed the inﬂuence of 12 biotic and 20 abiotic factors on the reduction of Diabrotica v. virgifera populations and on the prevention of root damage in 20 ﬁeld-scale experiments in Hungary between 2010 and 2020. Results conﬁrmed that all treatment types are able to control pest populations and prevent root damage, but with high variability. Our analyses showed that most investigated factors, for example, air temperature, most soil parameters, and pest infestation levels, did not inﬂuence the efﬁcacy of the treatments. The efﬁcacy of clothianidin in preventing root damage decreased slightly with increasing soil bulk density but improved with late maize sowing, and therefore late treatment, as well as with increasing soil moisture in July. The efﬁcacy of cypermethrin in preventing damage improved slightly with increasing clay content in the soil. Teﬂuthrin was slightly less effective in reducing D. v. virgifera with increasing soil moisture in June. However, all these factorial inﬂuences were minor in their absolute effects. Surprisingly, none of the investigated factors seemed to inﬂuence the efﬁcacy of H. bacteriophora . In conclusion, the efﬁcacy of chemical and biological treatments against this soil pest remains difﬁcult to predict under farming conditions.
Differentially Private Approximate Near Neighbor Counting in High Dimensions

Range counting (e.g., counting the number of data points falling into a given query ball) under differential privacy has been studied extensively. However, the current algorithms for this problem are subject to the following dichotomy. One class of algorithms suffers from an additive error that is a fixed polynomial in the number of points. Another class of algorithms allows for polylogarithmic additive error, but the error grows exponentially in the dimension. To achieve the latter, the problem is relaxed to allow a “fuzzy” definition of the range boundary, e.g., a count of the points in a ball of radius r might also include points in a ball of radius cr for some c > 1 . In this paper we present an efficient algorithm that offers a sweet spot between these two classes. The algorithm has an additive error that is an arbitrary small power of the data set size, depending on how fuzzy the range boundary is, as well as a small ( 1 + o (1) ) multiplicative error. Crucially, the amount of noise added has no dependence on the dimension. Our algorithm introduces a variant of Locality-Sensitive Hashing, utilizing it in a novel manner.
Jurnal Ekonomi dan Bisnis

using panel data regression analysis with the Random Effect Model (REM). The results of this research indicate that disclosure of sustainability reports has a positive effect on accounting conservatism. This research's contribution is to help companies decide what their corporate responsibility efforts should prioritize. The companies should be more aware of the effects of accounting conservatism and different sustainability report disclosures.
Dynamic Matrix Composition in Engineered Cartilage Dynamic Matrix Composition in Engineered Cartilage with Stochastic Supplementation of Growth Factors with Stochastic Supplementation of Growth Factors

Dynamic extracellular matrix (ECM) synthesis is explored in a hypothesized engineered cartilage construct. Growth ( α ) and decay ( β ) rate parameters are developed from a previous engineered cartilage model. The presented mathematical model was constructed from the parameterized experimental data using a deterministic and stochastic examination of ECM synthesis based on a negative feedback control mechanism. A growth factor supplementation is incorporated in a probabilistic mathematical approach. The growth factor component modified an initial deterministic model through a Gaussian white noise fluctuation. As the primary constituents of ECM, the mathematical tool is intended to characterize the probable steady state distribution of glycosaminoglycan (GAG) and collagen molecules as well as mean mass accumulation at homeostasis. Computer simulation of the models is applied to reported data from four similar chondrocyte-polymer construct culture systems. The range in rate ratios reflect the differing nature of GAG and collagen synthesis ( α GAG / β GAG = 4.2 to 148.6; α collagen / β collagen = 8.1 to 2590.4). This technique reduced the influencing synthesis factors to a few key descriptive parameters. Additional anabolic and catabolic factors may further be built into the models.
Phytochemical investigation of some bioactive compounds from twigs and leaves of Juniperus oxycedrus L. plant grown in Iraq

Herbal medicine has been used throughout history for the prevention and treatment of illnesses, and the promotion of health, and to enhance the quality and span of our lives. In this study Juniperus oxycedrus twigs and leaves are extracted with methanol after defatting with n-hexane using the soxhlet apparatus to separate the polar compounds according to the like dissolves-like rule. The flavonoids components are flavonol type, like rutin, quercetin; flavan-3-ol like catechin; as well as flavone, like apigetrin, were isolated by preparative high performance liquid chromatography (PHPLC), and examined using the ultraviolet spectrum (UV), Fourier-transform infrared spectroscopy (FTIR), mass spectrum by comparing the base peak mass m/z, and HPLC by comparing the retention times of the isolated and matching compounds. The isolated compounds have potent pharmacological activities like antioxidants, anticancer, antibacterial, and anti-inflammatory activities, and the plant needs further study to utilize it because this was the first, and the only research that focused on compounds isolation in Iraq and globally.
ATINER ATINER's Conference Paper Series LIT2017-2399

Food is often used in literature as a metaphor of culture, class and ethnicity. It is also used as the source of memories and tradition, as different foods can evoke memories of home, or be part of certain traditions, such as religious celebrations. Food can, however, also be used to break away from a traditional background, or it may be an act of rebellion. This paper investigates how food is used as a marker of identity in the novel "My Beautiful Death" by Eben Venter. The main character’s relationship with and to food marks his changing identity, as well as his final farewell to life.
Profitability Analysis

This study describes a comprehensive profitability analysis that introduces several novel ratios and decompositions. Key innovations relate to the separation and analysis of activities other than operating and financing, and, most importantly, to the decomposition of operating profitability. Three drivers of operating profitability are analyzed: profit margin, asset turnover, and a funding ratio that measures the proportion of operating assets funded by capital. The empirical analysis demonstrates the informativeness of the various decompositions as well as the effectiveness of the methodology used for estimating transitory income and other components of the reformulated financial statements.
The protective effect of rutin supplement in Azithromycin-induced thyroid gland gland toxicity in male albino rats

The current study was conducted in the animals house / Department of biology / Al- University of Qadisiyah from November to February This is for the purpose of studying the effect of rutin to reducing the potential effects of azithromycin on functional of thyroid gland in albino rats This examination aim to research the defensive ability of flavonoid Rutin against Azithromycin incited thyroid gland injury in experimental rats. 40 male albino rats , were divided in four groups: first group (G1) control , was given distiller water orally. The second group (G2) , was treated as a dose of (30) mg/kg of azithromycin for 10 days , third group (G3) was treated as a dose of (50) mg/kg of rutin for 10 days , and the fourth (G4) was treated as a dose of (30) mg/kg of azithromycin and (50) mg/kg of rutin for 10 days. Results, indicated that caused a significantly decline (P<0.05) T3 , T4 and Thyroid Stimulating Hormone (TSH ) levels in plasma of G2 compared with G1, The results also showed a significant increase in (MDA)and decrease in the level of (SOD) in a group2 (G2) Compared with the control group,while the level of T3 , T4 , TSH, MDA and SOD was normal in (G3) and (G4) , this results proved that used rutin to lessen damage effects of by reduction of generating ROS and ameliorate thyroid toxicity in rats , by restoring normal hormones levels . The histological study: also showed that pathological histological changes occurred in (G2), represented by changing in diameter of the thyroid gland's follicles there were smaller irregular thyroid follicles, an increase in the thickness of the lining layer of the vesicles and the occurrence of hyperplasia , and colloids as well as bubbles in the colloidal substance.
Gen Z: From Familiarity in Operating Digital Platforms into the Intention of Continuance Purchasing Online F&B Products

The purpose of this paper is to analyze the relationship between Gen Z’s technology familiarity and their continuance intention of purchasing online F&B products, in which this relationship is potentially influenced by their behavior as consumer. Here, online F&B products are those which are sold in GoFood, GrabFood, and other food delivery applications and online retailers that exist in Indonesia. Data were collected through online survey using structured questionnaires to Indonesian Gen Z, especially with those who previously have experience in using food delivery apps or simply buying F&B products from online retailers. Then, data were analyzed using quantitative analysis, structured equation modeling. Gen Z consumer behavior mediates the technology familiarity with continuance intention. Technology familiarity is impactful towards consumer behavior and consumer behavior is impactful towards continuance intention. In order for an online food and beverage business to thrive, owners must adjust to the consumer’s capability of using their service as technology familiarity indirectly impacts continuance intention.
Towards a Social Realist Framework for Analyzing Academic Advising in Global South Contexts

Academic advising is a proven high-impact practice, shown to have the potential to help increase students’ prospects of academic success, increase their sense of belonging and integration at their institution of higher learning, and provide unique insights into the lived realities and experiences of higher education students. For this reason, advising can be seen as a transformative activity within the student support space in South African higher education institutions. As a practice and profession, advising has existed in the Global North (GN) for decades. However, in South Africa – a developing country in the Global South (GS) – academic advising remains a nascent field. Consequently, the overarching ideas that inform academic advising in the South African context (both theoretically and practically), tend to be drawn predominantly from the GN and more developed countries. The unchallenged acceptance and tacit dominance of theoretical perspectives and practices from these countries can be considered problematic.
Arctic Field Grant Scientific Report 2015 Project title: Probing the Atmospheric Surface Layer during the Arctic Night: The Role of Turbulent Structures RIS-ID: 10094

Our aim was to assess to what degree local horizontal homogeneity (LHH) of scalar fields is a valid assumption in the atmospheric surface layer (ASL) over land in the Arctic. LHH combined with stationarity underpins the conventional eddy-covariance (EC) method used to measure the turbulent exchange of energy, mass and momentum between the atmosphere and the underlying surface. We focused on the often stably stratified Arctic night and hoped to identify severe departures from LHH that are thought to occur in such a regime. Depending on the relative magnitude of these departures, applying EC locally may not be justified. Thus, we set out to sample the horizontal structure of the local temperature field in the ASL above the Bayelva catchment. The site was adjacent to an EC system that was the focus of the author’s Master thesis (Aalstad, 2015) to which this project is complimentary.