Miracle-dz/UniFAR-FTUs huggingface dataset:
Ethnography / Listening / Recording. Sound Environments of the Malawian North and Beyond

Anthropological writings barely comment on practices of listening and recording that are in fact essential for ethnographic fieldwork. They constitute the foundations of encountering the local environments approached by ethnographers. This research practice recontextualizes recorded sound in the new settings of academic or commercial repositories. Two case studies from fieldwork in Northern Malawi elucidate ways in which reflective listening and the uti-lization of technology constitute knowledge generative processes. The example of the recordings entitled “Bicycling through Chibavi” concerns questions of distance and engagement during fieldwork. The case of an experimental recording of vimbuza music constitutes a methodological project of a “situationist event”. The project demonstrates how the subjects of the research performatively navigate between local sound environments.
Meat quality of fresh Bonylip Barb and all-female hybrid Bonylip Barb (Osteochilus hasselti Valenciennes, 1842) fish based on organoleptic, physical and chemical characteristics

This research aimed to discover the quality comparison of fresh Bonylip Barb and all-female hybrid Bonylip Barb fish meat based on organoleptic, physical and chemical characteristics. The result showed that all-female hybrid Bonylip Barb fish was preferred by panelists, with median appearance, aroma and texture values is 7 or liked. Meat texture of Bonylip Barb fish and all-female hybrid Bonylip Barb fish are not significantly different, both of them have elastic and compact textures like fresh fish in general. Meat color of all-female hybrid Bonylip Barb fish was more yellowish white compared with Bonylip Barb fish. Nutrient content of Bonylip Barb fish includes 81.77% of water content, 1.40% of ash content, 15.99% of protein content, 0.58% of lipid content and 0.26% of carbohydrate content, while all-female hybrid Bonylip Barb fish has 80.55% of water content, 1.50% of ash content, 15.43% of protein content, 0.79% of lipid content and 1.74% of carbohydrate content.
Multi-Scale Neighborhood Feature Extraction and Aggregation for Point Cloud Segmentation

Learning and extracting high-level features from point cloud is the key to improving the segmentation performances on point clouds for many networks. At present, many networks present very deep structures to extract high-level features for 3D perception. However, we argue that even better results can be achieved by (i) building feature vectors that integrates multi-scale geometric features, and (ii) exerting discriminative constraints on the learning of mid-levels features. In this paper, we propose a Multi-scale Neighborhood Feature Extraction and Aggregation Model (MNFEAM) to enhance feature extraction for point cloud learning. We try to first extract multi-scale neighborhood information for each input point and then aggregate local information of a mid-level locality feature space, and finally integrate the aggregated local and the global feature vectors. A new discriminative loss function is designed to strengthen the coarse semantics on mid-levels features so that the semantic abstraction process can be improved and accelerated. We improve the performances of three popular networks for point cloud segmentation using the proposed MNFEAM on standard 3D datasets.
A Framework to define optimized Shuffling process to reduce data transfer latency: MapReduce in Serverless Infrastructure

Today in cloud computing, serverless platform is appeared as a modern technology with the combination of Function as a Service (FaaS) and Backend as a Service (BaaS) with significant computational power. The FaaS is the class of serverless computing service in which user has a privilege to deploy their functions with no management of hardware's by the user. It enable the users to run multiple tasks concurrently with higher elasticity and scalability by introducing fine-grained billing. Cloud providers adds resources arbitrary to deploy and run functions by millisecond level billing. MapReduce is framework or model for decentralized processing of data, where it is broadly operates for processing the large data-sets. This paper considers MapReduce in serverless platform where shuffling creates the latency issues because the object doesn't scale due to Input Output per second limitations during processing of data-sets. This paper provides the Composite Model for processing large datasets defined in greater performance serverless platform by executing the tasks on Function as a Service (AWS Lambda) and Backend as a service (bringing combination of fast storage and slow storage). An evaluation has been carried out to understand the suitability of MapReduce in serverless platform and experimentation is carried out and compare with other platforms. The results shows that AWS lambda is suitable for processing the large data-sets with less execution time with moderate billing.
Handbook of Physical-Chemical Properties and Environmental Fate for Organic Chemicals

VOLUME I Introduction The Incentive Physical-Chemical Properties Experimental Methods Quantitative Structure-Property Relationships (QSPRs) Mass Balance Models of Chemical Fate Data Sources and Presentation Illustrative QSPR Plots and Fate Calculations References Aliphatic and Cyclic Hydrocarbons Lists of Chemicals and Data Compilations Summary Tables and QSPR plots References Mononuclear Aromatic Hydrocarbons Lists of Chemicals and Data Compilations Summary Tables and QSPR plots References Polynuclear Aromatic Hydrocarbons (PAHs) and Related Aromatic Hydrocarbons Lists of Chemicals and Data Compilations Summary Tables and QSPR plots References VOLUME II * Halogenated Aliphatic Hydrocarbons Chlorobenzenes and Other Halogenated Mononuclear Aromatics Polychlorinated Biphenyls (PCBs) Chlorinated Dibenzop-dioxins Chlorinated Dibenzofurans VOLUME III * Ethers Alcohols Aldehydes and Ketones Carboxylic Acids Phenolic Compounds Esters VOLUME IV Nitrogen and Sulfur Compounds Lists of Chemicals and Data Compilations Summary Tables References Herbicides Lists of Chemicals and Data Compilations Summary Tables References Insecticides Lists of Chemicals and Data Compilations Summary Tables References Fungicides Lists of Chemicals and Data Compilations Summary Tables References APPENDICES List of Symbols and Abbreviations Alphabetical Index CAS Registry Index Molecular Formula Index * Each chapter contains lists of chemicals and data compilations, summary tables, QSPR plots, and references
MACHINE LEARNING BASED FEATURE EXTRACTION METHODS FOR ESTIMATION OF DRIVER'S DROWSINESS

At present, the number of vehicles in the cities are increasing rapidly and also which may cause accidents, so the prevention of accidents is a major challenge. According to autonomous vehicle technology and development, machine learning methods have been used to detect the driver‟s condition to improve the safety of the passengers and commuters in the road. Apart from the basic characteristics such as age, gender, driving experience, driver‟s previous accident history of the driver, driver's condition can be identified by considering the factors such as driver's facial expressions, eye blinking, head movements, usage of cell phone while driving, alcohol and accident sensor. Recent technologies such as video processing, image processing, and analysis using machine learning algorithms could be used to capture the constant images and videos of the driver to detect the behavior and to calculate the level of drowsiness. For example, a driver driving a long distance may feel tired and can be warned to take rest by giving a warning signal by an audio alarm. Thus, this work uses machine learning-based feature extraction methods for determining the drowsiness level of a driver.
Evaluating the intervention fidelity of self-managed computer therapy for aphasia post-stroke

Introduction: Intervention fidelity refers to whether an intervention is delivered as intended by the designer, which can affect intervention success. This study aimed to evaluate fidelity to the StepByStep approach to aphasia computer therapy delivered in the Big CACTUS trial. Methods: A mixed methods approach was adopted comprising five interrelated studies. Firstly, a narrative literature review explored the methods used in fidelity evaluation in stroke rehabilitation research. Secondly, a qualitative interview study with StepByStep approach experts identified the key components of the intervention delivered in the Big CACTUS trial. Both of these studies informed the data to be collected in the third study, a process evaluation of intervention fidelity in the Big CACTUS trial. The fourth study explored the factors associated with adherence to computer therapy practice through secondary analysis of trial data and qualitative interviews with people with aphasia (PWA) and their carers who had used the computer therapy in the trial. The final study identified ‘essential’ components of the intervention associated with improved word-finding in the Big CACTUS trial. Results: Key informants identified four key components of the StepByStep approach: the StepByStep software, therapy set-up (tailoring and personalising), regular independent practice, and supporting and monitoring use. All components of the intervention were delivered with moderate to high fidelity in the Big CACTUS trial. Factors associated with increased adherence to independent practice included: the PWA having had their stroke longer ago; the PWA’s perceived and actual capability to engage with computer therapy; having the opportunity to carry out practice, which was aided by having the computer therapy for longer; having more input from a speech and language therapist; and a number of motivational factors. Exploratory data analysis indicated that the components of the intervention associated with change in word-finding ability were: rigorous tailoring of the computer therapy exercises and spending more time on naming words in functional sentences exercises. Conclusion: The StepByStep approach was delivered with moderate to high fidelity. This study has informed the interpretation of trial results, recommendations for clinicians delivering the intervention in clinical practice and will inform further intervention refinement.
Experimental investigation of the relationship between noise occurrence and the load-bearing area in dry sliding contact

Friction brakes can induce vibrations and noise, including squealing, which is a major public health concern. Squeal results from dynamic instabilities, leading to high amplitude vibrations and intense noise emissions. Although the phenomenon is well known, the origin of squealing occurrences remains poorly understood. It is recognized that squealing is related to many factors, including the wear of the friction parts. However, the multi-scale nature of physical couplings, the complexity of friction materials and the closed nature of contact are all obstacles to understanding its appearance.This experimental work is based on the third-body approach and the notion of a tribological circuit to explore the mechanisms originating squeal, considering that flows of third body at the interface continuously change the friction surfaces and thus the load-bearing area during the slip.The objective of the work is to examine the link between the change of the third body, that of the tribological triplet and the appearance of noise in dry friction conditions. For this purpose, an elementary tribometer dedicated to the analysis of contact vibrations is used, the experiment allowing a monitoring of the interface through a transparent disc and a control of the tribological circuit by the use of an artificial third body and an appropriate contact configuration. The results show in particular that the appearance of squealing is strongly related to the densification and redistribution of the third-body layer in the contact during sliding
Development of Factorial Multi-Stage Programming Methods for Water resources Management Under Uncertainty

I ACKNOWLEDGEMENTS . III DEDICATION . IV TABLE OF CONTENTS . V LIST OF TABLES . VII LIST OF FIGURES . VIII CHAPTER 1: INTRODUCTION . 1 CHAPTER 2: LITERATURE REVIEW . 5 2.1 Credibility-Constrained Programming . 5 2.2 Stochastic Mathematical Programming . 7 2.2.1 Probabilistic programming . 7 2.2.2 Recourse programming . 8 2.2.2.1 Two-stage stochastic programming . 9 2.2.2.2 Multi-stage stochastic programming . 10 2.3 Interval Mathematical Programming . 11 2.4 Factorial Analysis . 12 2.5 Literature Review Summary . 13 CHAPTER 3: FACTORIAL MULTI-STAGE CHANCE-CONSTRAINED PROGRAMMING MODEL FOR WATER RESOURCES MANAGEMENT . 14 3.1 Background . 14 3.2 Methodology . 15 3.2.1 Model development . 15 3.2.2 Solution method . 21 3.2.3 Factorial analysis . 25 3.4 Case Study . 26 3.5 Summary . 46
A comprehensive review of phytoconstituents and biological activities of genus Zinnia

Zinnia genus contains annual and perennial plants belonging to family Asteraceae and comprising about 20 species native to South America. Zinnia species are used in folk medicine for the treatment of malaria and stomach pain and are used as hepatoprotective, antiparasitic, antifungal and antibacterial agents. Zinnia plants are well known ornamental plants with large, beautiful and attractive flowers. This review is first attempt for assembling the published papers about the isolated phytochemical components and pharmacological actions of this genus. Many studies reported that Zinnia contains numerous secondary metabolites of different classes including sterols, flavonoids, sesquiterpenes, diterpenes and hydrocarbons. Zinnia plants also are reported to possess a wide range of biological effects such as antioxidant, hepatoprotective, cytotoxic, antibacterial, antifungal and insecticidal activities. This review potentiates the researchers for carrying out further studies on this genus to isolate and develop new drugs from natural sources with wide margin of safety and understanding their effects and possible mechanism of actions.
TDAG8 (GPR65) Inhibits Intestinal Inflammation in the DSS-Induced Experimental Colitis Mouse Model

T cell death-associated gene 8 (TDAG8, also known as GPR65) is a proton-sensing G protein-coupled receptor (GPCR) predominantly expressed in immune cells. Genome-wide association studies identify TDAG8 as a susceptibility candidate gene linked to several human inflammatory diseases including inflammatory bowel disease (IBD), asthma, spondyloarthritis, and multiple sclerosis. In this study, our results demonstrate that mice deficient of TDAG8 exhibited more severe inflammatory phenotypes than wild-type mice in a chronic dextran sulfate sodium (DSS)-induced colitis mouse model. Several disease parameters, such as diarrhea, colon shortening, fibrosis, histopathological score, and mesenteric lymph node enlargement were aggravated in TDAG8-null mice in comparison to wild-type mice treated with DSS. Increased leukocyte infiltration and myofibroblast expansion were observed in colonic tissues of DSS-treated TDAG8-null mice. These changes may represent a cellular basis of the observed exacerbation of intestinal inflammation and fibrosis in these mice. In line with high expression of TDAG8 in infiltrated leukocytes, real-time RT-PCR revealed that TDAG8 mRNA expression was increased in inflamed intestinal tissue samples of IBD patients when compared to normal intestinal tissues. Altogether, our data demonstrate that TDAG8 suppresses intestinal inflammation and fibrosis in the chronic DSS-induced colitis mouse model, suggesting potentiation of TDAG8 with agonists may have anti-inflammatory therapeutic effects in IBD.
GROWTH AND BULB YIELD OF ALLIUM SATIVUM L. (GARLIC) IN SANDY LOAM AND SILT LOAM SOILS

The differences in the growth and bulb yield of Allium sativum L. (garlic) in sandy loam and silt loam soils were studied. Vegetative growth of plants in sandy loam was significantly higher than that of plants grown in silt loam. The plant height, number of leaves, fresh weight and dry weight of plants grown in sandy loam was significantly higher than those of plants grown in silt loam. The weight of bulbs produced by plants grown in silt loam (2.52 ± 0.46 g) was significantly higher at p<0.05 than that of plants grown in sandy loam (1.57 ± 0.21 g). There was no significant difference in the numbers of cloves per bulb produced by plants from both soil types. Cloves of bulb produced by plants grown in silt loam had significantly higher allicin concentration (2.11 ± 0.17 µg/g fresh clove) than plants grown in sandy loam (1.19 ± 0.33 µg/g fresh clove). This report shows that while garlic plants grew vegetatively better in sandy loam, bulb yield (weight and allicin concentration) was enhanced in silt loam. A luxuriant vegetative growth of garlic appears not to results in a better bulb yield
MENINGKATKAN KETERAMPILAN SOSIAL ANAK MELALUI PERMAINAN TRADISIONAL ENGLOLIBABA BISKUIT

ABSTRAK Permainan tradisional pada zaman milineal sekarang ini sudah hampir tidak terdengar lagi, kebanyakkan anak-anak dizaman sekarang mengisi waktu luangnya dengan bermain permainan modern seperti handphone, smartphone dan sebagainya. Melihat fenomena ini membuat kita prihatin karena efek yang dihasilkan dari seringnya anak bermain permainan modern yang ada pada handpone,atau gadget membuat tingkat social anak menurun. Hal ini terlihat dari hasil observasi yang dilakukan pada SD Negeri 3 Banda Aceh yaitu anak lebih suka kegiatan individu, anak sukar diatur, suka membantah dan lain sebagainya. Tujuan penelitian ini yaitu untuk mengetahui apakah permainan tradisional englolibaba biskuit dapat meningkatkan keterampilan sosial anak. Penelitian ini menggunakan metode penelitian tindakan (action research) yang meliputi: perencanaan, tindakan, pengamatan, dan refleksi. Tindakan yang diberikan yaitu permainan tradisional englolibaba biskuit. Teknik pengumpulan data dalam penelitian ini yaitu Observasi, Wawancara, dan dokumentasi. Sampel dalam penelitian ini berjumlah 20 anak kelas IV SD Negeri 3 Banda Aceh. Hasil penelitian menunjukkan bahwa terjadi peningkatan keterampilan sosial anak kelas IV SD Negeri 3 Banda Aceh diberikan tindakan permainan tradisional englolibaba biscuit. Hal ini terbukti berdasarkan dengan taraf signifikan yang diambil yaitu 5% atau 0,05. Maka jika nilai sig. (2-tailed) 0,05, maka hasil dinyatakan tidak terdapat perbedaan yang signifikan antara hasil pretest dan posttest. Berdasarkan dari hasil data tabel di atas dapat diketahui bahwa nilai sig. (2-tailed) yaitu 0,00<0,05. Maka dapat di simpulkan bahwa terdapat peningkatan hasil keterampilan sosial anak setelah diberikan permainan tradisional englolibaba biskuit. Kata Kunci : Ketarampilan Sosial, Tradisional, Englolibaba Biskuit
Distributed Interference Management: A Broadcast Approach

Effective interference management in the multiuser interference channel strongly hinges on the channel state information’s availability at the transmitters (CSIT). In a broad range of emerging large-scale and distributed networks (e.g., the Internet of Things), acquiring the CSIT is prohibitive due to the extensive information exchange that it imposes. As a result, the interference management approaches that rely on the CSIT lose their effectiveness in such circumstances. This article focuses on the two-user interference channel and proposes a broadcast approach to interference management. Its hallmark is that the transmitters, unlike the receivers, are entirely oblivious to instantaneous channel states. Each transmitter splits its message into multiple superimposed encoded information layers, where each layer is adapted to a given possible state for the combined states of all channels. Depending on the relative gain between the direct and interfering channels, each receiver opportunistically decodes a subset of both transmitters’ received layers. An average achievable rate region is delineated, serving as an inner bound on the Gaussian interference channel’s average capacity region in the absence of CSIT. Finally, an upper bound on the gap between the achievable sum-rate and the sum-rate capacity is established.
Simulation-Based Learning in Electronics: Modified TAM and DeLone & McLean IS Success Model

Today, technology has greatly influenced many aspects of our lives. Technology is increasingly becoming an integral tool complementary to innovative instructional models. Multimedia and network interactivity are leading new forms of teaching and learning and creating new roles for students as active participants of the learning process. The study analyzed the satisfaction and intention towards actual use of the circuit simulation software as the basis for technology adoption in education, particularly in teaching electronics in higher education. The study introduced a new model called Technology Acceptance Model-Integrated System (TAM-IS). A TAM and D & M success model was also incorporated in adopting simulation-based instructional material for electronics instruction. The study demonstrated excellent internal consistency confirmed by results of the analysis utilizing Confirmatory Factor Analysis, Kaiser – Meyer – Olkin (KMO), Cronbach Alpha and Barlette Test. The results showed that respondents’ responses validated the acceptability of simulation-based learning in electronics. The behavioral intention & attitude towards the use of the technology confirmed the acceptability of adopting simulation software platform in teaching-learning electronics. The study further recommends needs assessment, proper orientation and evaluation of technology to be utilized. Future studies involving a larger pool of experts from different sectors, may be beneficial as technology becomes more accessible and rapidly evolving.
Implementing SoftBound on Binary Executables

Though languages like C and C++ are known to be memory unsafe, they are still used widely in industry because of their memory management features, low level nature and performance benefits. Also, as most of the systems software has been written using these languages, replacing them with memory safe languages altogether is currently impossible. Memory safety violations are commonplace, despite the fact that that there have been numerous attempts made to conquer them using source code, compiler and post compilation based approaches. SoftBound is a compiler-based technique that enforces spatial memory safety for C/C++ programs. However, SoftBound needs and depends on program information available in the high-level source code. The goal of our work is to develop a mechanism to efficiently and effectively implement a technique, like SoftBound, to provide spatial memory safety for binary executables. Our approach employs a combination of static-time analysis (using Ghidra) and dynamic-time instrumentation checks (using PIN). SoftBound is a pointer based approach, which stores base and bound information per pointer. Our implementation determines the array and pointer access patterns statically using reverse engineering techniques in Ghidra. This static information is used by the Pin dynamic binary instrumentation tool to check the correctness of each load and store instruction at run-time. Our technique works without any source code support and no hardware or compiler alterations are needed. We evaluate the effectiveness, limitations, and performance of our implementation. Our tool detects spatial memory errors in about 57% of the test cases and induces about 6% average overhead over that caused by a minimal Pintool.