Miracle-dz/UniFAR-FTUs huggingface dataset:
AKTIVITAS ANTIOKSIDAN BIJI KAKAO (Theobroma cacao L.) DALAM MENURUNKAN KADAR 8-HIDROKSI-2’-DEOKSIGUANOSIN DALAM URIN TIKUS SETELAH TERPAPAR ETANOL

ABSTAK: Penelitian ini bertujuan untuk mengetahui aktivitas antioksidan biji kakao pada fraksi yang memiliki aktivitas antioksidan paling tinggi secara in vitro dalam menurunkan kadar 8-OHdG dalam urin tikus yang terpapar etanol. Uji aktivitas antioksidan dilakukan dengan metode DPPH dan pengukuran kadar 8-OHdG dalam urin tikus dilakukan dengan metode ELISA . Biji kakao dimaserasi dengan pelarut etanol dan selanjutnya dipartisi dengan pelarut n-heksana, etil asetat, dan n-butanol. Uji aktivitas antioksidan secara in vitro dengan metode DPPH menunjukkan bahwa fraksi n-butanol memiliki aktivitas antioksidan paling tinggi dengan nilai IC 50 170 ppm. Berdasarkan analisis statistik, data kadar 8-OHdG pada kelompok pemberian fraksi n-butanol berbeda nyata (p<0,05). Sehingga, pemberian fraksi n-butanol berpengaruh terhadap penurunan kadar 8-OHdG dalam urin tikus yang terpapar etanol dibandingkan dengan kelompok kontrol negatif dengan efektivitas penurunan kadar 8-OHdG untuk dosis 50 mg/kg BB; dosis 100 mg/kg BB; dan 200 mg/kg BB berturut-turut adalah 21,20%, 31,34%, dan 35,28%. ABSTRACT: This study aimed to determine antioxidant activity of cocoa beans in fraction that has the highest antioxidant activity in lowering 8-OHdG level in urine after exposuring to ethanol. Antioxidant activity test was conducted using DPPH and measurement 8-OHdG level in urine was carried out by ELISA. Cocoa beans was macerated with ethanol and partitioned with n-hexane, ethyl acetate, and n-butanol. Antioxidant activity test by DPPH method showed that n-butanol fraction has the highest antioxidant activity with IC 50 value of 170 ppm. Based on statistical analysis, n-butanol fraction was significantly reduced the urinary level of 8-OHdG (p<0,05) in rats after exposuring to ethanol compared to negative control group. The level effectiveness of n-butanol fraction in decreasing the level of urinary 8-OHdG was 21,20% at dose 50 mg/kg of BW; 31,34% at dose 100 mg/kg of BW; and 35,28% at dose 200 mg/kg of BW.
Strategies for Delivering Mental Health Services in Response to Global Climate Change: A Narrative Review

This narrative review examined strategies for preparedness and response to mental health impacts of three forms of climate change from a services perspective: (1) acute and extreme weather events such as hurricanes, floods, and wildfires, (2) sub-acute or long-term events such as droughts and heatwaves; and (3) the prospect of long-term and permanent changes, including higher temperatures, rising sea levels, and an uninhabitable physical environment. Strategies for acute events included development and implementation of programs and practices for monitoring and treating mental health problems and strengthening individual and community resilience, training of community health workers to deliver services, and conducting inventories of available resources and assessments of at-risk populations. Additional strategies for sub-acute changes included advocacy for mitigation policies and programs and adaptation of guidelines and interventions to address the secondary impacts of sub-acute events, such as threats to livelihood, health and well-being, population displacement, environmental degradation, and civil conflict. Strategies for long-lasting changes included the implementation of evidence-based risk communication interventions that address the existing and potential threat of climate change, promoting the mental health benefits of environmental conservation, and promoting psychological growth and resilience.
Formation of requirements for IT services of a research department at a digital university

To maintain competitiveness, modern universities need to constantly look for ways to improve performance. One of these ways is digitalization of processes. The level of digitalization in Russian universities is very different. Universities seek to build these competencies and pool resources to increase competitiveness. However, there are still no common standards for connecting data and services, and this seriously hinders universities development. For digitalization, it is necessary to create a list of requirements for the services of the future information system. Research is an integral part of any university, so it is important to find ways of digitalization also for this activity. Services such as tracking current tasks, informing about standard procedures and cataloging scientific articles will simplify the work of the research department. It is also necessary to understand the purpose of implementation and what benefits digitalization of research processes can bring. As a result of creating an IT system that implements the services described in this article, the university discovers many opportunities for further development.
Performance of cassava (Manihot esculanta. Cratz) clones in potential and low moisture stressed areas of Ethiopia

Cassava (Manihot esculanta. Cratz) is one of the most important food crops that constitute a considerable portion of the daily diet of the people and also serves as one of the major source of carbohydrate. Despite its importance, production of cassava in Ethiopia has different constraints and opportunities. Among which, shortage of improved varieties is the first and the most important one. It is mainly cultivated by small resource poor farmers on smallholding plots of land. Average storage root yield obtained per a given plot of cassava is as low as 100 tons per hectare despite the potential yield of 600 tons per hectare per year. This low yield might be due to the cultivation of local, low yielding, late maturing cultivars. To contribute to alleviating the problem and provide farmers other alternative varieties, Hawassa Agricultural Research Center, in collaboration with Jimma and Sekota Agricultural Research Centers, conducted evaluation of cassava clones in potential and moisture stressed agroclimatic conditions of the country. Jima and Hawassa sites represent potential agroclimatic condition, while Amaro and Sekota represent moisture stressed areas. A total of seven cassava clones namely AWC-1 (MM 96/5280), AWC-2 (MM 90/5280), AWC-3 (MM 96/7151), AWC-4 (MM96/1871), AWC-5 (MM96/3868) and Kello (standard check) were evaluated by using randomized complete block design replicated three times. The evaluation was carried out for two consecutive years, from 2012 to 2014. The combined analysis result indicated that there was statistically significant difference among the clones tested and the locations where the experiment was conducted. The clone AWC-1 (37.17 t/ha) followed by AWC-2(35.52 t/ha) and AWC-5 (35.51 t/ha) gave the highest storage root yield but there was no statistically significant difference in the total storage yield among the clones AWC-2, AWC-3 and AWC-5. In the same way, the highest dry matter content was recorded from the clones AWC-2 (51.8%), AWC-3 (48.5%) and Kello (49.1%). Among the locations tested, the best result was obtained from Amaro (35.14 t/ha) which is characterized by its low moisture stress, indicating that cassava can resist/tolerate low moisture stress and give comparative yield provided that other factors are not limited. Thus, those clones with the highest storage root yield and dry matter content were promoted for variety verification and will be released for wider production. Key words: Cassava, moisture stress, potential, storage root, dry matter
Caractérisation Structurale et Biochimique de la Nucléoprotéine des virus grippaux de type A, B et D

Le virus de la grippe est un virus a ARN negatif appartenant a la famille des Orthomyxoviridae qui se compose de 7 membres dont les virus influenza A, B, C et D. Le genome viral comprend 7 a 8 particules ribonucleoproteiques (RNP) au sein desquelles l’ARN viral (ARNv) est recouvert de multiples copies de nucleoproteines (NP) et est associe a l’ARN polymerase virale via ses extremites 3’ et 5’. Au cours de ce travail de these, nous nous sommes tout d’abord focalises sur l’etude biochimique de NP A et NP B et avons pu mettre en evidence des comportements differents en ce qui concerne leurs proprietes d’oligomerisation en presence ou en absence d’ARN et en fonction de la concentration en sel. Pour la premiere fois nous avons pu observer une structure similaire aux RNP mais reconstituee uniquement a partir de NP A et d’un ARN de 12 nucleotides. Nous avons pu formuler l’hypothese que 12 nucleotides de l’ARN serait fixes a la NP avec une forte affinite tandis que le reste de l’ARN fixerait la NP avec une affinite beaucoup plus faible. En parallele nous avons resolu la structure cristallographique de la nucleoproteine de la grippe de type D et realiser la caracterisation de son interaction avec l’importine-α7 humaine. Enfin nous avons etudie la fixation de l’ARN sur NP D et mis en evidence l’importance de l’extremite C-terminale dans le processus de fixation a l’ARN. Ces informations ont permis de formuler de nouvelles hypotheses quant au fonctionnement du virus de la grippe et permettre d’inscrire ce projet de these dans une dynamique globale de lutte contre ce virus.
The difference between Treg cells and naive T cells analyzed by cluster analysis

This article hopes to find differences in the function of Treg cells and naive T cells by high-throughput analysis. With the increasing demand for low-cost sequencing, the development of high-throughput sequencing has been promoted, which multiplexes the sequencing process and produces thousands or millions of sequences. RNA-seq is a transcriptional sequencing technique in which mRNA, small RNA, and non-coding RNA, or some of them, are identified by highthroughput sequencing techniques. Reflecting their level of expression. It Is a powerful tool for deep research of the complexity of transcription groups.
Effects of Agroforestry and Other Sustainable Practices in the Kenya Agricultural Carbon Project (KACP)

With growing global demand for food, unsustainable farming practices and large greenhouse gas emissions, farming systems need to sequester more carbon than they emit, while also increasing productivity and food production. The Kenya Agricultural Carbon Project (KACP) recruited farmer groups committed to more Sustainable Agricultural Land Management (SALM) practices and provided these groups with initial advisory services on SALM, farm enterprise development and village savings and loan associations. Recommended SALM practices included agroforestry, cover crops, mulching, composting manure, terracing, reduced tillage and water harvesting. The effects of the KACP on the uptake of SALM practices, maize yield, perceived food self-sufficiency and savings during the initial four years were assessed comparing control and project farmers using interviews, field visits and measurements. Farmers participating in the KACP seemed to have increased uptake of most SALM practices and decreased the use of practices to be avoided under the KACP recommendations. Agroforestry and terraces showed positive effects on maize yield. During all four years, the KACP farms had higher maize yield than control farms, but yield differences were similar in 2009 and 2012 and there was no overall significant effect of the KACP. In 2012, the KACP farms had higher food self-sufficiency and tended to have higher monetary savings than control farms.
DARC : Data Anonymization and Re-identification Challenge

Résumé —L’anonymisation est un des moyen de protection des données personnelles mis en avant par le nouveau règlement européens de protection des données personnelles (RGPD). Le projet DARC (Data Anonymization and Re-identiﬁcation Challenge) est un challenge qui permet d’approcher le problème de l’anonymisation des données personnelles sous la forme d’un jeu. Ce challenge consiste dans un premier temps à anonymiser un jeu de données issu d’un site de vente en ligne, puis dans un second temps à essayer de ré-identiﬁer les données anonymisées par les autres groupes. Un système de points évoluant positivement en fonction des ré-identiﬁcations effectués sur les autres groupes ou négativement si des ré-identiﬁcations sont effectués sur ses données alimente l’évolution du classement des groupes de manière interactif. Ce challenge d’anonymisation et de ré-identiﬁcation de données s’est déroulé de Septembre à Novembre 2019 et a rassemblé trois formations d’étudiants d’INSA différents. Cette période a permis un approfondissement et une mise en pratique des enseignements au travers de la première phase d’anonymisation de données. Enﬁn, tous les étudiants ont été rassemblés sur deux jours sur le campus de l’INSA de Lyon pour effectuer en immersion la phase de ré-identiﬁcation de données. Fort de cette première initiative réussie, le projet DARC est dorénavant mature pour ré-itérer l’expérience à plus large échelle avec un nombre plus important de formations impliquées.
Snapshots of mean ocean temperature over the last 700 000 years using noble gases in the EPICA Dome C ice core

Abstract. Together with the latent heat stored in glacial ice sheets, the ocean heat uptake carries the lion's share of glacial–interglacial changes in the planetary heat content, but little direct information on the global mean ocean temperature (MOT) is available to constrain the ocean temperature response to glacial–interglacial climate perturbations. Using ratios of noble gases and molecular nitrogen trapped in the Antarctic EPICA Dome C ice core, we are able to reconstruct MOT for peak glacial and interglacial conditions during the last 700 000 years and explore the differences between these extrema. To this end, we have to correct the noble gas ratios for gas transport effects in the firn column and gas loss fractionation processes of the samples after ice core retrieval using the full elemental matrix of N2, Ar, Kr, and Xe in the ice and their individual isotopic ratios. The reconstructed MOT in peak glacials is consistently about 3.3 ± 0.4 ∘C cooler compared to the Holocene. Lukewarm interglacials before the Mid-Brunhes Event 450 kyr ago are characterized by 1.6 ± 0.4 ∘C lower MOT than the Holocene; thus, glacial–interglacial amplitudes were only about 50 % of those after the Mid-Brunhes Event, in line with the reduced radiative forcing by lower greenhouse gas concentrations and their Earth system feedbacks. Moreover, we find significantly increased MOTs at the onset of Marine Isotope Stage 5.5 and 9.3, which are coeval with CO2 and CH4 overshoots at that time. We link these CO2 and CH4 overshoots to a resumption of the Atlantic Meridional Overturning Circulation, which is also the starting point of the release of heat previously accumulated in the ocean during times of reduced overturning.
Approximation Algorithms for the Submodular Load Balancing with Submodular Penalties

In this paper, we study the submodular load balancing problem with submodular penalties. The objective of this problem is to balance the load among sets, while some elements can be rejected by paying some penalties. Officially, given an element set V, we want to find a subset R of rejected elements, and assign other elements to one of m sets A1,A2,⋯,Am. The objective is to minimize the sum of the maximum load among A1,A2,⋯,Am and the rejection penalty of R, where the load and rejection penalty are determined by different submodular functions. We study the submodular load balancing problem with submodular penalties under two settings: heterogenous setting (load functions are not identical) and homogenous setting (load functions are identical). Moreover, we design a Lovász rounding algorithm achieving a worst-case guarantee of m+1 under the heterogenous setting and a min{m,⌈nm⌉+1}=O(n)-approximation combinatorial algorithm under the homogenous setting.
A Multitier Deep Learning Model for Arrhythmia Detection

An electrocardiograph (ECG) is employed as a primary tool for diagnosing cardiovascular diseases (CVDs). ECG signals provide a framework to probe the underlying properties and enhance the initial diagnosis obtained via traditional tools and patient–doctor dialogs. Notwithstanding its proven utility, deciphering large data sets to determine appropriate information remains a challenge in ECG-based CVD diagnosis and treatment. Our study presents a deep neural network (DNN) strategy to ameliorate the aforementioned difficulties. Our strategy consists of a learning stage where classification accuracy is improved via a robust feature extraction protocol. This is followed by using a genetic algorithm (GA) process to aggregate the best combination of feature extraction and classification. Comparison of the performance recorded for the proposed technique alongside state-of-the-art methods reported the area shows an increase of 0.94 and 0.953 in terms of average accuracy and F1 score, respectively. The outcomes suggest that the proposed model could serve as an analytic module to alert users and/or medical experts when anomalies are detected.
Caste, Social Networks and Variety Adoption

Social networks influence technology diffusion but targeting formal leaders (institutional central nodes) may lead to distributional consequences. This paper analyzes the role of informal social networks in technology diffusion in a socially hierarchical caste-based society. Often, information flow and technology diffusion are constrained by social and economic boundaries where informal nodes such as caste play a very decisive role in everyday life. Proper targeting and dissemination of technology to the marginalized sections of society are very important for their development. We observed that only one-fourth of farmers cultivate newer varieties which include hybrids and recently released high yielding varieties. The results showed that individuals belonging to marginal groups are influential and act as informal leaders when they are the dominant caste in the village. Progressive farmers are found to fail in disseminating new varieties, and targeting influential informal leaders who belong to the dominant caste of the village appears to be a better strategy. Among non-dominant caste members, influential leaders belonging to Other Backward Classes (OBCs) or Scheduled Tribes (STs) are more desirable targets than other caste groups. The more concentrated a network is in terms of its caste composition, the faster will be the spread of any technology.
Design and Analysis of New Haptic Joysticks for Enhancing Operational Skills in Excavator Control

The design perspective of interfaces has strong implications on operator intuition and safety. Haptics enabled user interfaces can enhance operator skills and enhance interactivity. In this paper, an innovative method of haptic feedback in joysticks is presented for excavator control. Haptic illusion in the device is generated with the concept of the variable stiffness actuation mechanism. The force feedback (FFB) is rendered through “haptic links,” based on the effect of digging force at each joint. The stiffness in the device varies dynamically with the load and restricts the operator motion with a resistive torque in the range of 0–0.9 Nm. The haptic joystick aims to render high-fidelity kinesthetic feedback that can help to mitigate the operator error in loading operations. The user evaluation with the joystick showed an improvement of 40% in the volume of material removed and a significant drop in error rate related to force patterns and collisions.
The gig economy comes to academia: Job satisfaction among adjunct faculty

Abstract Colleges and universities in the United States have embraced the “gig” economy with use of non-tenure track and part-time faculty. However, much of the work on job satisfaction in academia focuses on tenure-line professors. This study seeks to answer the question of whether adjunct faculty look more like independent gig workers or contingent gig workers. Independent gig workers are their own boss and choose these jobs voluntarily. Contingent gig workers are similar to traditional workers in that they are not their own boss and are instead regular employees. However, they lack some of the advantages of a traditional job such as security. Data were collected from a university in the western United States. Adjunct professors reported similar levels of job satisfaction as their tenure-track and tenured counterparts. We conclude that at least some portion of adjunct faculty engage in contingent work voluntarily and are best categorized as independent gig workers.
Non-canonical aberrant DNA hypermethylation in glioma

Aberrant DNA hypermethylation is a hallmark of cancer although the underlying molecular mechanisms are still poorly understood. To study the possible role of 5-hydroxymethylcytosine (5hmC) in this process we analyzed the global and locus-specific genome-wide levels of 5hmC in primary samples from 54 gliomas and 72 colorectal cancer patients. Levels of 5hmC in colorectal cancer were very low and no consistent changes were detected between control tissues and tumors. As expected, levels of 5hmC in non-tumoral brain samples were high and significantly reduced at the 49,601 CpG sites in gliomas. Strikingly, hypo-hydroxymethylation at 4,627 (9.3%) of these CpG sites was associated with aberrant DNA hypermethylation. The DNA regions containing these CpG sites were enriched in H3K4me2, and presented a different genuine chromatin signature to that characteristic of the genes classically aberrantly hypermethylated in cancer. We conclude that this data identifies a novel 5hmC-dependent non-canonical class of aberrant DNA hypermethylation in glioma.
Prosody-Based Measures for Automatic Severity Assessment of Dysarthric Speech

One of the first cues for many neurological disorders are impairments in speech. The traditional method of diagnosing speech disorders such as dysarthria involves a perceptual evaluation from a trained speech therapist. However, this approach is known to be difficult to use for assessing speech impairments due to the subjective nature of the task. As prosodic impairments are one of the earliest cues of dysarthria, the current study presents an automatic method of assessing dysarthria in a range of severity levels using prosody-based measures. We extract prosodic measures related to pitch, speech rate, and rhythm from speakers with dysarthria and healthy controls in English and Korean datasets, despite the fact that these two languages differ in terms of prosodic characteristics. These prosody-based measures are then used as inputs to random forest, support vector machine and neural network classifiers to automatically assess different severity levels of dysarthria. Compared to baseline MFCC features, 18.13% and 11.22% relative accuracy improvement are achieved for English and Korean datasets, respectively, when including prosody-based features. Furthermore, most improvements are obtained with a better classification of mild dysarthric utterances: a recall improvement from 42.42% to 83.34% for English speakers with mild dysarthria and a recall improvement from 36.73% to 80.00% for Korean speakers with mild dysarthria.