Miracle-dz/UniFAR-FTUs huggingface dataset:
Utilization of Internet of Things and Wireless Sensor Networks for Sustainable Smallholder Agriculture

Agriculture is the economy’s backbone for most developing countries. Most of these countries suffer from insufficient agricultural production. The availability of real-time, reliable and farm-specific information may significantly contribute to more sufficient and sustained production. Typically, such information is usually fragmented and often does fit one-on-one with the farm or farm plot. Automated, precise and affordable data collection and dissemination tools are vital to bring such information to these levels. The tools must address details of spatial and temporal variability. The Internet of Things (IoT) and wireless sensor networks (WSNs) are useful technology in this respect. This paper investigates the usability of IoT and WSN for smallholder agriculture applications. An in-depth qualitative and quantitative analysis of relevant work over the past decade was conducted. We explore the type and purpose of agricultural parameters, study and describe available resources, needed skills and technological requirements that allow sustained deployment of IoT and WSN technology. Our findings reveal significant gaps in utilization of the technology in the context of smallholder farm practices caused by social, economic, infrastructural and technological barriers. We also identify a significant future opportunity to design and implement affordable and reliable data acquisition tools and frameworks, with a possible integration of citizen science.
Peran Kelompok Usaha dan Pemberdayaan Ekonomi Keluarga (KUPEK) Assolahiyah dalam Upaya Menciptakan Kemandirian Masyarakat di Bidang Ekonomi

Permasalahan ekonomi selalu saja menjadi masalah utama yang berada di masyarakat pedesaan, tidak terkecuali masyarakat di Kecamatan Cilamaya Kulon, Kabupaten Karawang. Mayoritas masyarakat yang merupakan buruh tani tidak setiap saat dapat menggantungkan pendapatannya kepada hasil pertanian. Pemberdayaan masyarakat berujung pada pemberdayaan dan peningkatan ekonomi masyarakat. Hal ini juga yang dilakukan oleh PKBM Assolahiyah untuk meningkatkan ekonomi keluarga dengan mendirikan unit kerja yaitu kelompok usaha dan pemberdayaan ekonomi keluarga (KUPEK) Assolahiyah. PT Pertamina EP Asset 3 Subang Field bekerjasama dengan CARE LPPM IPB untuk mendampingi program CSR perusahaan. Kegiatan KUPEK Assolahiyah berlangsung di Desa Pasirjaya, Kecamatan Cilamaya Kulon, Kabupaten Karawang. Pengamatan dilakukan sejak tahun 2015 dan dianalisis menggunakan analisis SWOT. KUPEK Assolahiyah berperan dalam : (1) Pemasaran; (2) Peningkatan kemampuan pelaku UKM; (3) Peningkatan kualitas produk. Masalah yang dihadapi oleh KUPEK Assolahiyah berasal dari internal dan eksternal organisasi. Kegiatan yang dilaksanakan KUPEK menuju kemandirian UKM untuk meningkatkan pendapatan dari hasil penjualan produk. UKM yang mengikuti KUPEK mulai memahami pentingnya menjaga dan meningkatkan kualitas produk untuk menambah nilai jual produk.
Pulse Broadening Effects on Ranging Performance of a Laser Altimeter with Return-to-Zero Pseudorandom Noise Code Modulation

A laser altimeter using code modulation techniques receives a backscattered pulse wider than the transmitted rectangular pulse when scanning a rough or sloped target surface. This leads to degrading the ranging performance in terms of signal-to-noise ratio (SNR) and detection probability. Unlike the pulsed techniques, little work has focused on the pulse broadening effect of the code modulation techniques. In this study, mathematical models were derived to investigate the pulse broadening effect on the ranging performance of a return-to-zero pseudorandom noise (RZPN) laser altimeter. Considering that the impulse response can be approximated by a Gaussian function, the analytical waveform was derived using a new flat-topped multi-Gaussian beam (FMGB) model. The closed-form expressions were also analytically derived for a peak cross-correlation, SNR, and detection probability in terms of the pulse broadening effect. With the use of a three-dimensional model of asteroid Itokawa for practical surface profiles, the analytical expressions were validated by comparing to the results obtained from numerical simulations. It was also demonstrated that the pulse broadening effect dropped down the peak cross-correlation and then deteriorated the ranging performance. These analytical expressions will play an important role in not only designing a laser altimeter using the RZPN code modulation technique but also analyzing its ranging performance.
Towards a Modular Reconfigurable Heterogenous Multi-Robot Exploration System

In this paper we present the project RIMRES – Reconfigurable Integrated Multi-Robot Exploration System 1 and its current state of work. In the course of the project, key technologies for modular reconfigurable robotic systems for extraterrestrial exploration missions are developed and demonstrated under earth conditions. By means of the developed robotic systems complex tasks in uncooperative and difficult to access areas can be solved efficiently. The robotic system consists of two mobile units, a wheeled rover and a legged scout, additionally various payload modules are implemented. Via a uniform mechatronic interface payloads modules can be assembled to complex payloads systems or fixated to the mobile units. Additionally the two mobile units can connect via the interface and act as one robot. This paper starts with a short survey on current developments of robots for exploration of canyons and craters on celestial bodies and then gives a detailed overview on the work in the project RIMRES.
Food Traceability as an Element of Sustainable Consumption—Pandemic-Driven Changes in Consumer Attitudes

A conscious approach to the issue of food traceability on the part of consumers is essential for making rational food purchases, which in turn contributes to sustainable consumption and globally, is an element of sustainable development. The study aims to assess the changes in consumers’ buying behaviors in the context of food traceability before and during the COVID-19 pandemic, as well as the impact of sociodemographic factors on those changes. Therefore, an online survey was conducted on a sample of 1000 respondents who were Polish food consumers. The study covered aspects related to the traceability of food by consumers before and during the pandemic. The results allowed for positive verification of the H1: Polish consumers attitudes related to food buying process changed during the COVID-19 pandemic. The results didn’t allow for fully positive verification of the H2: Sociodemographic factors significantly influence Polish consumers attitudes to the food shopping during COVID-19 period compared to pre-pandemic period. The significant influence was supported in almost all (in 6 out of 8) analyzed aspects in case of age, education, and place of residence. However, in case of gender it was confirmed only in terms of two out of eight aspects: choosing product of national origin and using the online form of ordering purchases.
50 Years of Data Science

ABSTRACT More than 50 years ago, John Tukey called for a reformation of academic statistics. In “The Future of Data Analysis,” he pointed to the existence of an as-yet unrecognized science, whose subject of interest was learning from data, or “data analysis. ” Ten to 20 years ago, John Chambers, Jeff Wu, Bill Cleveland, and Leo Breiman independently once again urged academic statistics to expand its boundaries beyond the classical domain of theoretical statistics; Chambers called for more emphasis on data preparation and presentation rather than statistical modeling; and Breiman called for emphasis on prediction rather than inference. Cleveland and Wu even suggested the catchy name “data science” for this envisioned field. A recent and growing phenomenon has been the emergence of “data science” programs at major universities, including UC Berkeley, NYU, MIT, and most prominently, the University of Michigan, which in September 2015 announced a $100M “Data Science Initiative” that aims to hire 35 new faculty. Teaching in these new programs has significant overlap in curricular subject matter with traditional statistics courses; yet many academic statisticians perceive the new programs as “cultural appropriation. ” This article reviews some ingredients of the current “data science moment,” including recent commentary about data science in the popular media, and about how/whether data science is really different from statistics. The now-contemplated field of data science amounts to a superset of the fields of statistics and machine learning, which adds some technology for “scaling up” to “big data. ” This chosen superset is motivated by commercial rather than intellectual developments. Choosing in this way is likely to miss out on the really important intellectual event of the next 50 years. Because all of science itself will soon become data that can be mined, the imminent revolution in data science is not about mere “scaling up,” but instead the emergence of scientific studies of data analysis science-wide. In the future, we will be able to predict how a proposal to change data analysis workflows would impact the validity of data analysis across all of science, even predicting the impacts field-by-field. Drawing on work by Tukey, Cleveland, Chambers, and Breiman, I present a vision of data science based on the activities of people who are “learning from data,” and I describe an academic field dedicated to improving that activity in an evidence-based manner. This new field is a better academic enlargement of statistics and machine learning than today’s data science initiatives, while being able to accommodate the same short-term goals. Based on a presentation at the Tukey Centennial Workshop, Princeton, NJ, September 18, 2015.
Macrophage interactions with laminin: PMA selectively induces Macrophage interactions with laminin: PMA selectively induces the adherence and spreading of mouse macrophages on a the adherence and spreading of mouse macrophages on a laminin substratum laminin substratum

The ability of thioglycollate (TG)-elicited mouse peritoneal macrophages to adhere to a laminin substratum has been studied. These cells do not adhere to laminin-coated (20 ~tg/ml) surfaces, but the addition of phorbol myristate acetate (PMA; 50 ng/ml) results in their rapid adherence and spreading on this substratum. TG-elicited and PMA-activated macrophages, however, can bind soluble laminin. Macrophages adhere to fibronectin-coated surfaces and tissue culture plastic without PMA stimulation, and PMA does not increase the number of cells that adhere to these surfaces. The predominant surface proteins that bind specifically to laminin-Sepharose exhibit an Mr of 67 and 36 kD, but the expression of these proteins does not increase after PMA stimulation. Laminin receptor antibodies immunoprecipitate the 67-kD protein from radiolabeled surface lysates and are capable of blocking macrophage adherence to a laminin substratum. Indirect immunofluorescence microscopy indicates that PMA stimulation does not increase receptor expression, but that it may induce the aggregation of the receptor on the cell surface. PMA stimulation also promotes macrophage spreading and induces a reorganization of the actin cytoskeleton. Taken together, these data indicate the mechanism by which PMA promotes macrophage adherence to laminin does not involve increased 67-kD receptor surface expression, but that it is related to the changes in cytoskeletal and receptor surface organization that occur in response to
The Effect of Duration of Feed Restriction, Prebreeder Protein Content, and Nesting Material on Growth and Reproductive Performance of Commercial Large White Turkey Breeder Hens

24 INTRODUCTION . 25 MATERIALS AND METHODS. 27 RESULTS. 29 DISCUSSION. 33 REFERENCES . 37 CHAPTER 2 EFFECT OF DURATION OF FEED RESTRICTION AND PREBREEDER PROTEIN CONTENT OF FEED ON REPRODUCTIVE PERFORMANCE OF COMMERCIAL LARGE WHITE TURKEY BREEDER HENS. 69 ABSTRACT . 70 INTRODUCTION . 71 MATERIALS AND METHODS. 73 RESULTS AND DISCUSSION. 76 REFERENCES . 82. 70 INTRODUCTION . 71 MATERIALS AND METHODS. 73 RESULTS AND DISCUSSION. 76 REFERENCES . 82 CHAPTER 3 EFFECT OF NESTING MATERIAL ON REPRODUCTIVE PERFORMANCE OF COMMERCIAL LARGE WHITE TURKEY BREEDER HENS . 106 ABSTRACT . 107 INTRODUCTION . 108 MATERIALS AND METHODS. 110 RESULTS AND DISCUSSION. 112 REFERENCES . 114 GENERAL SYNTHESIS. 121 REFERENCES . 127 APPENDICES. 129 A Analysis of Variance Tables Chapter I . 130 B Analysis of Variance Tables Chapter II . 158 C Analysis of Variance Tables Chapter III. 172 VITA . 178. 107 INTRODUCTION . 108 MATERIALS AND METHODS. 110 RESULTS AND DISCUSSION. 112 REFERENCES . 114 GENERAL SYNTHESIS. 121 REFERENCES . 127 APPENDICES. 129 A Analysis of Variance Tables Chapter I . 130 B Analysis of Variance Tables Chapter II . 158 C Analysis of Variance Tables Chapter III. 172 VITA . 178
Open Source Software Test Automation Tools: A Competitive Necessity

Software Testing is one of the critical activities in developing quality software. To enhance test efficiency and to improve repeatability of tests , several testing tools were developed and rolled out by proprietary commercial vendors like HP, IBM, etc., In the past decade, Proprietary software test automation tools dominated the automation market and were extensively adopted. But in recent past, Open Source test automation tools are acknowledged as reliable and are being adopted rapidly by IT companies. When companies started adopting Open source test automation tools, these tools were perceived as Competitive advantage to keep them abreast of technology developments, reduce cost, train testers, test in-house developed applications and so on. But today, we are witnessing Open Source test automation tools evolving as industry standard and have become a competitive necessity in IT Industry. This paper explores on how Open Source Test Automation tools have become a Competitive Necessity.
Background and Current Status

Significant research efforts are underway to develop commercially viable, technically feasible, highly efficient, and highly reliable power converters for renewable energy, electric transportation, and various industrial applications. This chapter presents state-of-the-art knowledge and cutting-edge techniques in various stages of research related to impedance source converters/inverters, including the concepts, advantages compared to existing technology, classification, current status, and future trends. Electric power generation comprises traditional power generation, such as hydroelectric, thermal and nuclear power production, and renewable energy sources, which already has a large penetration joined by photovoltaic (PV) and wind energy. In applications that need to boost the voltage, the Z-source converter is a possibility. Power electronics is the enabling technology for the energy processing necessary for electronic and electrical equipment of all types, from renewable energy to power systems, from house appliances to aerospace systems. New power electronic devices, such as the SiC and GaN, will definitely improve the Z-source converters ? > performance.
Development of a framework of key performance indicators to identify reductions in energy consumption in a medical devices production facility

ABSTRACT The consumption of energy in manufacturing operations is growing in significance and approaches to reduce the resulting environmental impacts are necessary. Whilst companies have focused on reducing energy at a facilities level, research indicates that specific production processes generate significant environmental impact through energy consumption and greenhouse gas emissions. Potential energy savings have been identified in production processes; however the necessary tools are missing. The development of energy performance indicators have been described in theory but there is little evidence of their successful application in practice. This research proposes the application of a normalised co-efficient to view production and energy data and the development of a rolling energy performance co-efficient to provide alerts to ‘out-of-control’ production operations. Implementation of the approach in a large medical devices manufacturing facility has identified significant savings. Key consideration in the development of energy key performance indicators for production operations are described.
Responses to the Letter

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). Letter to the Editor
Multiomics identifies the link between intratumor steatosis and the exhausted tumor immune microenvironment in hepatocellular carcinoma

Background and Aims: Immunotherapy has become the standard‐of‐care treatment for hepatocellular carcinoma (HCC), but its efficacy remains limited. To identify immunotherapy‐susceptible HCC, we profiled the molecular abnormalities and tumor immune microenvironment (TIME) of rapidly increasing nonviral HCC. Approaches and Results: We performed RNA‐seq of tumor tissues in 113 patients with nonviral HCC and cancer genome sequencing of 69 genes with recurrent genetic alterations reported in HCC. Unsupervised hierarchical clustering classified nonviral HCCs into three molecular classes (Class I, II, III), which stratified patient prognosis. Class I, with the poorest prognosis, was associated with TP53 mutations, whereas class III, with the best prognosis, was associated with cadherin‐associated protein beta 1 (CTNNB1) mutations. Thirty‐eight percent of nonviral HCC was defined as an immune class characterized by a high frequency of intratumoral steatosis and a low frequency of CTNNB1 mutations. Steatotic HCC, which accounts for 23% of nonviral HCC cases, presented an immune‐enriched but immune‐exhausted TIME characterized by T cell exhaustion, M2 macrophage and cancer‐associated fibroblast (CAF) infiltration, high PD‐L1 expression, and TGF‐β signaling activation. Spatial transcriptome analysis suggested that M2 macrophages and CAFs may be in close proximity to exhausted CD8+ T cells in steatotic HCC. An in vitro study showed that palmitic acid‐induced lipid accumulation in HCC cells upregulated PD‐L1 expression and promoted immunosuppressive phenotypes of cocultured macrophages and fibroblasts. Patients with steatotic HCC, confirmed by chemical‐shift MR imaging, had significantly longer PFS with combined immunotherapy using anti–PD‐L1 and anti‐VEGF antibodies. Conclusions: Multiomics stratified nonviral HCCs according to prognosis or TIME. We identified the link between intratumoral steatosis and immune‐exhausted immunotherapy‐susceptible TIME.
Nutritive Value of Wheat Bran Diets Supplemented With Fresh Carrots and Wet Brewers’ Grains in Yellow Mealworm

Abstract We evaluated the effect of supplementation of a wheat bran (WB) diet with fresh carrots (FC) or wet brewer’s grains (WBG) on the growth performance and chemical composition of Tenebrio molitor larvae. Additionally, a digestibility trial was performed to determine the nutritional value of the raw materials used. The control diet was based on WB-only. Two other diets were formulated in which WB was supplemented with FC (FC diet) or with WBG (WBG diet). The experiment was conducted in trays (12 per treatment) and lasted 90 d. Larval weight, feed intake, and excreted feces were controlled in each tray the experiment. The digestibility trial was performed from 48 to 62 d post-hatch. Results showed digestibility coefficients of ashes, crude protein, and gross energy were significantly higher in FC diet compared with the other diets. Consequently, both digestible energy (DE) and digestible protein (DP) contents of FC were also significantly higher than those obtained for WB and WBG diets (on av. +1.12 megajoule [MJ] DE and +9.15 g DP per kg dry matter [DM]; P < 0.003). Mealworms fed FC diet showed significantly higher final weight and average daily gain than those fed the WBG diet (+12.4%), being higher in WBG than in WB diet (+3.5%). Dietary treatment did not affect DM, ashes, ether extract, and crude protein content of mealworms obtained. Some dietary effects on amino acid and fatty acid composition were observed. This study provides novel data and a unique experimental approach to assess the nutritional value of raw materials in mealworms.
Built to last: Theta and delta changes in resting‐state EEG activity after regulating emotions

: Over the past years, electroencephalography (EEG) studies focused on task‐related activity to characterize cortical responses associated with emotion regulation (ER), without exploring the possibility that regulating emotions can leave a trace in the brain by affecting its oscillatory activity. Demonstrating whether the effect of regulation alters the brain activity after the session and whether this reflects an increased cognitive regulatory ability has great relevance.
Essential role of Cp190 in physical and regulatory boundary formation

Boundaries in animal genomes delimit contact domains with enhanced internal contact frequencies and have debated functions in limiting regulatory cross-talk between domains and guiding enhancers to target promoters. Most mammalian boundaries form by stalling of chromosomal loop-extruding cohesin by CTCF, but most Drosophila boundaries form CTCF independently. However, how CTCF-independent boundaries form and function remains largely unexplored. Here, we assess genome folding and developmental gene expression in fly embryos lacking the ubiquitous boundary-associated factor Cp190. We find that sequence-specific DNA binding proteins such as CTCF and Su(Hw) directly interact with and recruit Cp190 to form most promoter-distal boundaries. Cp190 is essential for early development and prevents regulatory cross-talk between specific gene loci that pattern the embryo. Cp190 was, in contrast, dispensable for long-range enhancer-promoter communication at tested loci. Cp190 is thus currently the major player in fly boundary formation and function, revealing that diverse mechanisms evolved to partition genomes into independent regulatory domains.
Learning From Human Demonstrations for Wheel Mobile Manipulator: An Unscented Model Predictive Control Approach

Industry 4.0 requires new production models to be more flexible and efficient, which means that robots should be capable of flexible skills to adapt to different production and processing tasks. Learning from demonstration (LfD) is considered as one of the promising ways for robots to obtain motion and manipulation skills from humans. In this article, a framework that enables a wheel mobile manipulator to learn skills from humans and complete the specified tasks in an unstructured environment is developed, including a high-level trajectory learning and a low-level trajectory tracking control. First, a modified dynamic movement primitives (DMPs) model is utilized to simultaneously learn the movement trajectories of a human operator’s hand and body as reference trajectories for the mobile manipulator. Considering that the auxiliary model obtained by the nonlinear feedback is hard to accurately describe the behavior of mobile manipulator with the presence of uncertain parameters and disturbances, a novel model is established, and an unscented model predictive control (UMPC) strategy is then presented to solve the trajectory tracking control problem without violating the system constraints. Moreover, a sufficient condition guaranteeing the input to state practical stability (ISpS) of the system is obtained, and the upper bound of estimated error is also defined. Finally, the effectiveness of the proposed strategy is validated by three simulation experiments.