Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Digital Technology on Network Value Co-creation

In recent years, the discussion about how companies integrate new technologies into their value creation and how this affects their business has intensified. The trend towards digitalization is particularly challenging for smaller, value co-creating (VCC) companies in networks, yet little research has been done in this context. In response, this paper identifies four key technologies for promoting network VCC: (1) a service configuration system, (2) a centralized knowledge base, (3) an analytics system, and (4) a shared IT platform. We conducted a single embedded case study in a company network introducing these key technologies and thereby digitally transforming its VCC. Our results show how the companies in the network are approaching their transformation and what the impact and role of the technologies in their network VCC are.
Changes in Vaginal De Novo Extracellullar Matrix Assembly in the Lysyl Oxidase Like – 1 (Loxl1) Knockout (KO) Mouse Model of Pelvic Floor Disorders

Hypothesis / aims of study Deficient remodelling of the extracellular matrix (ECM) of pelvic structures during pregnancy and in the post-partum period could be related to female pelvic floor deficiency, resulting in pelvic floor disorders (PFD), including stress urinary incontinence and pelvic organ prolapse (POP). Elastin and collagen critically determine soft tissue mechanics and intracellular cell-signalling, and their turnover is determined by several biological factors, including matrix metalloproteinases (MMP), and tissue inhibitors of MMP (TIMP) [1]. In the lysyl oxidase like-1 (Loxl1) knockout (KO) mouse model of PFD, the condition develops after vaginal delivery and appears to correlate with disorganized elastin clusters, and abnormal ECM repair. To establish a pathophysiologic basis for PFD development, we compared de novo ECM assembly between wild type (WT) mice and Loxl1 KO mice with and without POP, as an indicator of PFD.
Identification of People with Parkinson's Suspicions through Voice Signal Processing

Parkinson is considered a disease with a very random prognosis, in addition to its origin due to a multisystemic neurodegenerative process that affects the central nervous system, which is responsible for motor control of the body and also produces chronic joint pain if the patient is not treated also suffers states of depression. This disease currently has no cure so it recommends the patient's family to provide quality of life, the age of incidence is from 40 years, according to the INCN (Instituto Nacional de Ciencias Neurologicas) indicates that there are 3,000 cases of Parkinson in Peru annually. In this research paper, it proposes the creation of an algorithm in MATLAB capable of extracting the characteristics of the voice spectrum through the voice signal processing to provide an early detection so that they can receive treatment, appease and slow down Parkinson's disease. This processing will consist of submitting the audio by the Fast Fourier Transform (FFT), identifying the signal bodies, separating by frequency periods, to finally find the average and maximum values. It was identified that in the lower frequencies are where there are major differences, in addition the test was done with patients who has Parkinson's suspicions and the same differences were obtained resulting in the frequency periods [9Hz – 13Hz], [20Hz –30Hz] and [40Hz – 54Hz]. Also note that the period of 20 Hz to 30 Hz is where if the values in this frequency are less than 3.5 in amplitude they are principles of suspicion of Parkinson's disease.
Robust Detection of Link Communities With Summary Description in Social Networks

Community detection has been extensively studied for various applications. Recent research has started to explore node contents to identify semantically meaningful communities. However, links in real networks typically have semantic descriptions and communities of links can better characterize community behaviors than communities of nodes. The second issue in community finding is that the most existing methods assume network topologies and descriptive contents carry the same or compatible information of node group membership, restricting them to one topic per community, which is generally violated in real networks. The third issue is that the existing methods use top ranked words or phrases to label topics when interpreting communities, which is often inadequate for comprehension. To address these issues altogether, we propose a new Bayesian probabilistic approach for modeling real networks and developing an efficient variational algorithm for model inference. Our new method explores the intrinsic correlation between communities and topics to discover link communities and extract semantically meaningful community summaries at the same time. If desired, it is able to derive more than one topical summary per community to provide rich explanations. We present experimental results to show the effectiveness of our new approach and evaluate the method by a case study.
Sharing the surplus and proportional values

We introduce a family of proportional surplus division values for TU-games. Each value first assigns to each player a compromise between her stand-alone worth and the average stand-alone worths over all players, and then allocates the remaining worth among the players in proportion to their stand-alone worths. This family contains the proportional division value and the new egalitarian proportional surplus division value as two special cases. We provide characterizations for this family of values, as well as for each single value in this family.
Factors contributing to motorcycle accidents in Malaysia

Road accident in Malaysia is a major issue and the rate of accident is increasing yearly as per demonstrate by the indicator published by the relevant authority. A prompt action on this issue is vital because road accident and fatalities contribute to the loss in term of economic to the country. Statistic by Road Transport Department, Malaysia show the ratio of each Malaysian own a vehicle is mostly equal to one. Fatalities due to road accident has become a worldwide issue and more than 1.25 million people died due to road accident every years. Motorcycle is a popular mode of transport in Malaysia compare to other mode of transportation and the numbers of fatalities & road accident involve motorcyclist & pillion is an alarming and need to be address effectively by the relevant authority. This paper aim is to review the scenario of road accident happen in Malaysia especially event involving motorcyclist and pillion. It’s will discuss on the factor that cause the road accident happen based on the statistic produce by the relevant authority and research done on the matter. Road safety research is important to enable a reliable strategies can be develop to mitigate the cause of road accident and reduce the number of fatalities. Providing safer and forgiving road is required to reduce risk of fatalities / injuries to motorcyclist and pillion if involve in road accident.
Parameter estimation, sensitivity and control strategies analysis in the spread of influenza in Mexico

In this paper we address a parameter estimation, sensitivity and control strategies analyses for influenza disease using a model the flows of people between four states: susceptible, exposed, infectious, recovered. We solved a curve-fitting mathematical model to Mexican influenza data using a nonlinear least-square method and the Landweber iteration. An optimal control problem is formulated and analyzed based on models between four states: susceptible, exposed, infectious, recovered; model considering educational campaign, vaccination and medical treatment as strategies for disease control. The sensitivity analysis is performed to determine which model parameters are the most important to disease transmission and prevalence. The numeric results suggest that an adequate implementation of these strategies during the outbreak of an epidemic could significantly mitigate the propagation of the disease.
Spirituality and HIV: a Bibliometric Study in the Health Area

The study aimed to analyze the bibliometric profile of scientific production in health area on studies that address the theme of spirituality and HIV. The bibliometric research was conducted in the PubMed database. The keywords “HIV” and “Spirituality” were used, considering the period 2006-2015, resulting in a sample of 65 articles. The data showed that about language, it is clear that English was predominant, with 95.4% productions. As the year of publication, 2011 had the largest volume of published articles with 21.5%, and 2010 was no publication recorded. Regarding the journals, the Journal of General Internal Medicine was the most published research on the subject of this study. The quantitative method had a higher prevalence, and the most used instrument was WHOQOL-Bref. The data show incipient publications on Spirituality and HIV, especially at national level, demonstrating the need for more research on this topic.
Analisis Perilaku Pemilahan Sampah di Kota Surabaya

Surabaya is one of the cities with the highest waste generation. Managing waste effectively needs to be started from the source by waste sorting. This qualitative research used a study case approach to figure out trash sorting behavior in Surabaya. Data are gathered from an interview with Surabaya’s Department of Cleanliness and Green Open Space, Non-Government Agency related to waste, and Surabaya’s Main Waste Bank. Observation is conducted in Pusat Daur Ulang Jambangan, city parks and boulevards to see how people sort the waste in public areas. Even though Surabaya has a world-recognized hygiene program, it doesn't necessarily make its people care about cleanliness and sorting waste. The knowledge doesn’t always lead to behavior. Waste sorting behavior is still related to the physical and social conditions of the community (external factors). Thus, to develop the sorting behavior requires three strategies: (1) strengthening policy; (2) providing ergonomic facilities; and (3) community involvement in changing behavior . Abtrak Surabaya merupakan salah satu kota dengan timbulan sampah terbesar. Agar dapat mengelola sampah dengan efektif, maka harus dimulai dari sumber dengan pemilahan sampah. Penelitian kualitatif ini bercorak studi kasus bertujuan mengetahui perilaku pemilahan sampah di Kota Surabaya. Data diperoleh melalui wawancara dengan Dinas Kebersihan dan Ruang Terbuka Hijau Kota Surabaya, LSM Pemerhati Sampah, Bank Sampah Induk Surabaya. Pengamatan dilakukan di Pusat Daur Ulang Jambangan, taman kota dan jalan-jalan untuk mengetahui bagaimana masyarakat memilah sampah di tempat umum. Meskipun Surabaya memiliki program kebersihan yang diakui dunia, tidak serta merta menjadikan masyarakatnya peduli kebersihan dan melakukan pemilahan sampah. Pengetahuan tidak selalu menghasilkan perilaku pemilahan sampah. Perilaku pemilahan sampah masih berkaitan dengan kondisi lingkungan fisik dan sosial masyarakat (faktor eksternal individu). Oleh karena itu, perilaku pemilahan sampah perlu dibentuk dengan 3 strategi: (1) penguatan kebijakan; (2) penyediaan sarana yang ergonomis; dan (3) pelibatan masyarakat dalam mengubah perilaku.
Application of mechanistic models to separate the effects of mutation, selection, and drift on protein sequence evolution

Mathematical and statistical models are useful for describing and understanding observations in genetics and genomics. These models have to constantly be updated to reflect current biological understanding. As opposed to descriptive and phenomenological models, mechanistic models allow for the extraction of more biologically relevant information based on underlying principles. Mutation, selection, and genetic drift are the three forces guiding evolution. Mechanistic models rooted in population genetics principles allow us to determine how these forces shape observed data. I demonstrate the usage of mechanistic models to relate protein coding sequences to their fitness landscapes and the evolutionary forces shaping them. Using the yeast L. kluyveri, I show the increased cost of protein synthesis due to a large scale introgression with mismatched codon usage. Furthermore, I analyze sitespecific selection on amino acids in the beta-lactamase protein TEM, which confers antibiotic resistance in E. coli and related species.
A method for rejecting 3k‐th harmonics in bandpass 6N‐path filters

In this paper, a method for 3 k ‐th ( k∈N ) harmonics rejection in 6 N ‐path filters is proposed, and the related analysis is provided. Using a single‐ended‐input to differential‐output structure, the filter selectivity around even harmonics are also suppressed. Accordingly, a proof‐of‐concept band‐pass filter is designed, and postlayout simulations in the 90‐nm CMOS technology are carried out, which covers an input frequency range from 200 MHz to 1.2 GHz with a channel bandwidth of 10 to 15.5 MHz. The achieved third harmonic rejection at 1‐GHz local oscillator (LO) frequency is about 43 dB. Over the entire radio frequency (RF) range, the in‐band IIP3 and noise figure are better than − 1.5 dBm and 5.3 dB, respectively. The power consumption of the analog circuitry is 21 mW from the 1.2‐V supply, whereas the digital clock generation circuitry consumes between 0.9 and 5.2 mW, depending on the center frequency of the filter.
Slime mould foraging: an inspiration for algorithmic design

The metaphor of 'foraging as search' provides a rich source of inspiration for the design of optimisation algorithms. An extensive literature has resulted in computer science over the past twenty years based on this, with algorithmic families such as ant colony optimisation and honeybee optimisation amongst others, being successfully applied to a wide range of real-world problems. Of course, all organisms must forage to acquire necessary resources and in recent years, increasing attention has been paid to the mechanisms by which non-neuronal organisms, in other words organisms without a central nervous system, forage. The vast majority of living organisms, encompassing some 99.5% of all biomass on earth, are non-neuronal. In this paper we introduce the plasmodial slime mould Physarum polycephalum. This non-neuronal organism is formed when individual amoebae swarm together and fuse, resulting in a large bag of cytoplasm encased within a thin membrane which acts a single organism. Inspiration has been drawn from some of its foraging behaviours to develop algorithms for graph optimisation and exemplars of these algorithms along with some suggestions for future research are presented in this paper.
Progress in Characterizing the Human Exposome: a Key Step for Precision Medicine

Summary Objective: Most diseases result from the complex interplay between genetic and environmental factors. The exposome can be defined as a systematic approach to acquire large data sets corresponding to environmental exposures of an individual along her/ his life. The objective of this contribution is to raise awareness within the health informatics community about the importance of dealing with data related to the contribution of environmental factors to individual health, particularly in the context of precision medicine informatics. Methods: This article summarizes the main findings after a panel organized by the International Medical Informatics Association - Exposome Informatics Working Group held during the last MEDINFO, in Lyon (France) in August 2019. Results: The members of our community presented four initiatives (PULSE, Digital exposome, Cloudy with a chance of pain, Wearable clinics), providing a detailed view of current challenges and accomplishments in processing environmental and social data from a health research perspective. Projects illustrate a wide range of research methods, digital data collection technologies, and analytics and visualization tools. This reinforces the idea that this area is now ready for health informaticians to step in and contribute their expertise, leading the application of informatics strategies to understand environmental health problems. Conclusions: The featured projects illustrate applications that use exposome data for the investigation of the causes of diseases, health care, patient empowerment, and public health. They offer a rich overview of the expanding range of applications that informatics is finding in the field of environmental health, with potential impact in precision medicine.
Experiments on Cu-isotope fractionation between chlorine-bearing fluid and silicate magma: implications for fluid exsolution and porphyry Cu deposits

Abstract Hydrothermal fluid is essential for transporting metals in the crust and mantle. To explore the potential of Cu isotopes as a tracer of hydrothermal-fluid activity, Cu-isotope fractionation factors between Cl-bearing aqueous fluids and silicate magmas (andesite, dacite, rhyolite dacite, rhyolite and haplogranite) were experimentally calibrated. Fluids containing 1.75–14 wt. % Cl were mixed together with rock powders in Au95Cu5 alloy capsules, which were equilibrated in cold-seal pressure vessels for 5–13 days at 800–850°C and 2 kbar. The elemental and Cu-isotopic compositions of the recovered aqueous fluid and solid phases were analyzed by (LA-) ICP–MS and multi-collector inductively coupled plasma mass spectrometry, respectively. Our experimental results show that the fluid phases are consistently enriched in heavy Cu isotope (65Cu) relative to the coexisting silicates. The Cu-isotope fractionation factor (Δ65CuFLUID-MELT) ranges from 0.08 ± 0.01‰ to 0.69 ± 0.02‰. The experimental results show that the Cu-isotopic fractionation factors between aqueous fluids and silicates strongly depend on the Cu speciation in the fluids (e.g. CuCl(H2O), CuCl2– and CuCl32−) and silicate melts (CuO1/2), suggesting that the exsolved fluids may have higher δ65Cu than the residual magmas. Our results suggest the elevated δ65Cu values in Cu-enriched rocks could be produced by addition of aqueous fluids exsolved from magmas. Together with previous studies on Cu isotopes in the brine and vapor phases of porphyry deposits, our results are helpful for better understanding Cu-mineralization processes.
The role of large-scale dynamics in an exceptional sequence of severe thunderstorms in Europe May/June 2018

Abstract. Over three weeks in May and June 2018, an exceptionally large number of thunderstorms hit vast parts of western and central Europe, causing precipitation of up to 80 mm and several flash floods. During this time, the large-scale atmospheric circulation, which was characterized by a blocking situation over northern Europe, influenced atmospheric conditions relevant for thunderstorm development. Initially, the southwesterly flow on the western flank of the blocking anticyclone induced the advection of warm, moist, and unstably stratified air masses. Due to a low-pressure gradient associated with the blocking anticyclone, these air masses were trapped in western and central Europe, remained almost stationary and prevented a significant air mass exchange. In addition, the low-pressure gradient led to weak flow conditions in the mid-troposphere and thus to low vertical wind shear that prevented thunderstorms from developing into severe organized systems. Most of the storms formed as local-scale, relatively slow-moving single cells. However, due to the related weak propagation speed, several thunderstorms were able to produce torrential heavy rain that affected local-scale areas and triggered several flash floods. Atmospheric blocking also increased the upper-level cut-off low frequency on its upstream regions, which was up to 10 times higher than the climatological mean. Together with filaments of positive potential vorticity (PV), the cut-offs served as trigger mechanisms for a majority of the thunderstorms. For the 22-day study period, we found that more than 50 % of lightning strikes can be linked to a nearby cut-off low or PV filament. The exceptional persistence of low stability combined with weak wind speed in the mid-troposphere over three weeks has not been observed during the past 30 years.
"Who has touched me?" : reading Mark 5:21 - 34 as a pastoral counselling model in today's search for faith-based holistic healing among Catholics of Edendale Valley.

V CHAPTER ONE . 1 BACK GROUND AND INTRODUCTION TO THE STUDY . 1 1.1 Problem Formulation . 1 1.1.1 Sub-problems . 3 1.2 Theoretical frameworks upon which the research project will be constructed . 4 1.2.1 LBN . 4 1.2. 2 The PCC . 5 1.3 Methodology . 6 1.3. 1 See: Establishing the context . 6 1.3. 2 Judge: Analysing the Text of Mark 5: 21-34 . 7 1.3. 3 Act: Developing and appropriate Pastoral Counselling Model . 7 1.4 Anticipated Problems, Limitations and Scope of Study . 8 1.5 Outline of chapters . 8 CHAPTER TWO . 9 SEE: EXAMINING FBHH AMONG EDENDALE CATHOLICS . 9 2.1 Understanding Healing. 9 2.1.1 Defining Healing . 9
Reprogramming of the apoplast metabolome of Lolium perenne upon infection with the mutualistic symbiont Epichloë festucae

Epichloë festucae is an endophytic fungus that forms a mutualistic symbiotic association with Lolium perenne. Here we analysed how the metabolome of the ryegrass apoplast changed upon infection of this host with sexual and asexual isolates of E. festucae. A metabolite fingerprinting approach was used to analyse the metabolite composition of apoplastic wash fluid from non-infected and infected L. perenne. Metabolites enriched or depleted in one or both of these treatments were identified using a set of interactive tools. A genetic approach in combination with tandem mass spectrometry was used to identify a novel product of a secondary metabolite gene cluster. Metabolites likely to be present in the apoplast were identified using the MarVis Pathway in combination with the BioCyc and KEGG databases, and an in-house Epichloë metabolite database. We were able to identify the known endophyte-specific metabolites, peramine and epichloëcyclins, as well as a large number of unknown markers. To determine whether these methods can be applied to the identification of novel Epichloë-derived metabolites, we deleted a gene encoding a NRPS (lgsA) that is highly expressed in planta. Comparative mass spectrometric analysis of apoplastic wash fluid from wild-type- versus mutant- infected plants identified a novel Leu/Ile glycoside metabolite present in the former.
Regulating Professional Players in Peer-to-Peer Markets: Evidence from Airbnb

We study professional players and their roles in peer-to-peer (P2P) markets. Most notably, P2P home-sharing platforms (e.g., Airbnb) consist of both professional hosts and nonprofessional individual hosts. What are the roles of the professionals? Should home-sharing platforms regulate their participation? Professional hosts may primarily offer properties that nonprofessional hosts would not supply and attract more guests—the differentiation effect. Or they may mostly supply similar properties and compete with the nonprofessionals—the competition effect. Using a unique data set of Airbnb listings, we first find that professional hosts’ properties are more expensive and have superior characteristics than nonprofessionals’. Second, we capitalize on a quasi-experiment in which Airbnb capped the number of properties a host can manage in several cities in the United States to determine the roles of professional hosts. With different predictions (about the policy impacts) under the differentiation versus competition effects, we find evidence suggesting the dominance of the latter. In particular, the policy increased the supply from nonprofessional hosts, and the price level of nonprofessional properties as a group went up after the policy. However, our findings of heterogeneity in policy impacts suggest that the dominance of competition is less prominent in certain markets. Finally, we find that the platform was not worse off in attracting reservations or securing revenue after the policy. Our findings contribute to both theory and practice as they reveal the roles of professional players and how P2P platforms can manage their participation. This paper was accepted by Kartik Hosanagar, information systems.