Miracle-dz/UniFAR-FTUs huggingface dataset:
Developing the backhaul exchange process between contractors in North Sweden

A number of studies have examined the potential to improve transport management decision-making via optimization models. One of the major bottlenecks for implementing suggested solutions in a decentralised system, however, is the lack of a standardised process which supports the operational exchange of backhauls between hauling contractors. The first part of this study maps the hauling contractor sector structure in North Sweden and contractor attitudes to the business situation. The second part of this study maps current models for the backhaul exchange and presents a framework for supporting the exchange process. The results show that typical coordination routines and truck types differ between independent and associated contractors. The interviewed haulers see a limited potential for increased backhauling in their areas. Three initial types of backhaul exchange agreements were found in the study. Based on these, a business process was prototyped with user groups.
On the sufficiency and redundancy of pitch for TRP projection

In two Reaction Times (RT) experiments, subjects were asked to respond with minimal responses to prerecorded dialogs and impoverished versions of these dialogs, containing either only intonation and pause information, hummed stimuli, or no periodic component at all, whispered stimuli. For the hummed, stimuli, response delays and, especially, variances were higher than the original recordings. Responses to mid-frequency pitch utterance-ends were significantly longer than responses to low pitch utterance-ends, suggesting that our subjects fell back to reacting to pauses when presented with hummed utterances ending in a mid-frequency tone. This suggests that, in contrast to low or high end-tones, intonation contours that end in a mid-frequency tone might not contain any useful information for predicting endof-utterance Turn Relevant Places (TRPs). We conclude that just the intonation and pauses of a conversation contain sufficient information for projection of TRPs. However this information is measurably impoverished with respect to original to an extent that increases the “processing” time by 10%. No difference was found between whispered and original speech. This lack of any effect of removing all periodic sound components from the speech signal indicates that in natural speech the pitch signal itself might be redundant for predicting TRPs.
A More Consistent Understanding of Consistency

Recent storage systems trade strong consistency for performance, availability, and scalability. However, this makes it hard to understand the semantics that the storage system provides, and also makes the design and implementation of the storage system itself more error-prone. This paper proposes a comprehensive solution to these problems. In particular, we propose a specification language named ConSpec, which enables the formalization of different consistency semantics that a storage system may provide, using a uniform syntax that is independent of the design and implementation of the target storage system. We use ConSpec to revisit several existing models in light of a common way to define and compare them. Furthermore, we generalize the CAP theorem, whose original formulation only considered linearizability, to precisely define the class of consistency definitions that can and cannot be implemented in a highly-available, partition-tolerant way. Finally, we present the design and implementation of a new consistency checker that takes a trace from a storage system (e.g., the output of a test suite) and validates whether it meets any consistency semantics defined using ConSpec. The evaluation of our consistency checker shows that it is able to verify the correctness of long traces in a reasonable time.
Aplikasi Pengenalan Wajah Menggunakan Teknik CBIR untuk

Penelitian ini ditujukan untuk membuat sistem keamanan cerdas (Inteligent Security System) berbasis pengenalan wajah atau sering dikenal dengan face recognition. Data yang digunakan adalah data gambar wajah tampak depan, bukan tampak samping atau belakang. Dengan menggunakan citra wajah yang tidak ada penghalang (obstacles) dan wajah dengan obstacles. Data gambar wajah di simpan dalam database berbasis objek file melewati proses identifikasi dan pengenalan wajah kemudian melakukan retrival wajah menggunakan teknik similarity wajah dengan Content Based Image Retrieval, pada tahap identifiksi wajah, aplikasi dapat menentukan secara spesifik bentuk wajah depan, pada tahap recognition, dilakukan ekstraksi fitur, berjalan secara cerdas similarity (mencocokkan data wajah) yang akan membuka pintu, sehingga dapat digunakan untuk meminimalkan terjadinya kriminalitas yang terjadi saat ini. Sistem ini dapat digunakan untuk pengamanan pintu rumah, pintu ruang di kantor, pintu gerbang, gate-gate di airport, berbasis pengenalan wajah. Kata Kunci: Intelligent system, security, face recognition, CBIR
HEliOS: huffman coding based lightweight encryption scheme for data transmission

Demand for fast data sharing among smart devices is rapidly increasing. This trend creates challenges towards ensuring essential security for online shared data while maintaining the resource usage at a reasonable level. Existing research studies attempt to leverage compression based encryption for enabling such secure and fast data transmission replacing the traditional resource-heavy encryption schemes. Current compression-based encryption methods mainly focus on error insensitive digital data formats and prone to be vulnerable to different attacks. Therefore, in this paper, we propose and implement a new Huffman compression based Encryption scheme using lightweight dynamic Order Statistic tree (HEliOS) for digital data transmission. The core idea of HEliOS involves around finding a secure encoding method based on a novel notion of Huffman coding, which compresses the given digital data using a small sized "secret" (called as secret_intelligence in our study). HEliOS does this in such a way that, without the possession of the secret intelligence, an attacker will not be able to decode the encoded compressed data. Hence, by encrypting only the small-sized intelligence, we can secure the whole compressed data. Moreover, our rigorous real experimental evaluation for downloading and uploading digital data to and from a personal cloud storage Dropbox server validates efficacy and lightweight nature of HEliOS.
A TRACE OF HISTORICAL LINKAGE OF COMPUTER CONNECTIVITY FRAMEWORKS : FROM COMPUTER NETWORKS TO THE CLOUD OF THINGS

A lot of advancements have taken place and still taking place in computing. Gone are the days that people had to rely on inevitable standalone computer to meet their needs. With advancement in technology, computing is turning the world to a better place. Even physical objects are now connected to the internet with the help of wireless sensor networks. This paper traces the historical linkage of different computing frameworks from computer networks to cloud of things with a view to helping researchers and organisations understand the various evolution phases of computer networks. The progression of ideas from the advent of computer networks to six (6) different computer connectivity frameworks like distributed computing, cluster computing, grid computing, cloud computing, internet of things and the cloud of things was examined making all the developments that have taken place to be easily seen in a single medium. The emergence of each framework as well as the strengths, weaknesses and motivation for each of the emerged paradigm was briefly described. A generalized framework with the latest paradigms which anchor the era of big data was also presented.
An Enhanced Novel Approach For Distributed Document Clustering

In an era of scientific progression, challenges in the field of Information Retrieval (IR) are wide spread and is so tedious to fathom, due to the increased usage of mass volumes of data. Hence, scalability and efficiency are the two main constraints when it pertains to IR from large complex distributed databases. Document clustering (text clustering) is one of the prime concerns for improvising the quality of IR, for both centralized and decentralized environments. So as to eradicate the aforementioned fallacies, this paper emphasizes on hybrid algorithms, one of which is the Particle Swarm Optimization (PSO) algorithm for the rational purpose of optimizing and subsequently followed with K-Means clustering algorithm. A framework is also being proposed for managing large volumes of data into chunks. This novel approach reaffirms the scalability and efficiency of document clustering on decentralized environments. Extensive evaluations based on simulation are carried out with the given datasets to demonstrate the effectiveness of the algorithm. Some of the applications include, the Sentimental Analysis on social networks, content search on Library of Congress, Boeing Aircraft, etc.
Race and the Incidence of Environmental Hazards

Introduction (Bunyan Bryant and Paul Mohai.) Toxic Waste and Race in the United States (Charles Lee.) Can the Environmental Movement Attract and Maintain the Support of Minorities? (Dorceta Taylor.) The Environmental Voting Record of the Congressional Black Caucus (Henry Vance Davis.) Toward a Model of Environmental Discrimination (Michel Gelobter.) Environmental Blackmail in Minority Communities (Robert Bullard.) Invitation to Poison? Detroit Minorities and Toxic Fish Consumption from the Detroit River (Patrick C. West.) Minority Anglers and Toxic Fish Consumption: Evidence from a Statewide Survey of Michigan (P. C. West, J. Mark Fly, Frances Larkin, and Robert W. Marans.) The Effects of Occupational Injury, Illness, and Disease on the Health Status of Black Americans: A Review (Beverly Hendrix Wright.) Hazardous Waste Incineration and Minority Communities (Harvey L. White.) Environmentalism and Civil Rights in Sumter County, Alabama (Conner Bailey and Charles E. Faupel.) Uranium Production and Its Effects on Navajo Communities Along the Rio Puerco in Western New Mexico (Wm. Paul Robinson.) Environmental Racism: Reviewing the Evidence (P. Mohai and B. Bryant.) Pesticide Exposure of Farm Workers and the International Connection (Ivette Perfecto.) The Dumping of Toxic Waste in African Countries: A Case of Poverty and Racism (Mutombo Mpanya.) Summary (B. Bryant and P. Mohai.).
Ontology Design Patterns for Representing Context in Ontologies using Aspect Orientation

Context-sensitive knowledge is ubiquitous. Knowledge may, for example, change over time and from location to location, or it may be dependent on an observer’s background knowledge, belief, or opinion. We observe that specifying context leads to recurring modeling problems. For example, the modeling of temporal context involves the specification of one or several time intervals and attaching them to the axioms or facts that are supposed to be valid during that time. The formalism for specifying the temporal context may, however, vary. As a solution, we present a catalog of parametrizable ontology design patterns (ODPs) specific to the problem of modeling context. We base the patterns on the aspect-oriented extension of OWL 2, because it allows nesting of contexts and the usage of the entirety of OWL 2 (DL) as the context description language. We evaluate the adequacy and usefulness of the approach within a real-life research project about anatomical structure recognition in 3D endoscopic imaging, in which a highly contextualized mapping ontology between the qualitative arrangement of 3D shapes, anatomical structures, and surgical situations is developed. We can show that the use of a context specification formalism leads to an adequate representation of the domain at hand and that the proposed context ODPs facilitate the modeling of contextualized knowledge. Nevertheless, the ODPs are sufficiently abstract and general to be reused in different domains and application scenarios.
Pattern of Breastfeeding Practice During the First 6 Months of Life in Mafraq

Aim: To assess the breastfeeding practice in the first 6 months of the infant’s age at the public Gyno-obstetric-pediatric hospital (GOPH) in Mafraq, Jordan. Methods: A cross-sectional study was carried out at (GOPH) in 2009 (Jan. 1, 2009-Dec. 31, 2009). Infants attended the primary care centers and well-baby clinic of (GOPH) for the first 6 months. Mothers were interviewed to collect the information on the mothers, the infants and their breastfeeding practices in which definitions were used for classification of the infants’ nutrition patterns. Results: There were 300 infants included in this study. Breastfeeding was initiated among 94% of the sample. Most mothers supplemented breastfeeding with milk formula (72%) or fluids (95%) during the first 6 months. The percent of exclusive breastfeeding was 4.2% and partial breastfeeding (formula + breastfeeding) was the most common type of feeding at 82.4%. Lactation duration dropped to 55% after 6 months. The factors that caused mothers to favor the milk formula use were the introduction of the formula in the first of life, maternal reasons of inadequate milk lactation, formula introduction associated with mother parity, working status and combined contraceptive pill use. Conclusion: Prevalence of exclusive breastfeeding was low in the sample. Partial breastfeeding was the trend for feeding in the first 6 months of life which was accompanied with a rapid decline in lactation duration.
XPO 1 en bidezko garraio nukleozitoplasmikoa : oinarrizko mekanismoak eta hurbilketa esperimentalak ( XPo 1-mediated nucleocytoplasmic transport : basic mechanisms and experimental approaches )

The nuclear envelope, a double membrane that encloses the nucleus of eukaryotic cells, establishes a physical separation between the two main cellular compartments: the nucleus and the cytoplasm. Continuous communication between these compartments is crucial for the maintenance of cellular homeostasis. This communication relies on the bidirectional transport of macromolecules across the nuclear envelope. we focus here on a protein, called XPO1, which plays a key role in nucleocytoplasmic transport. XPO1 is the main receptor that mediates the export of hundreds of proteins and several RNA molecules from the nucleus to the cytoplasm. In this article we first review the molecular mechanisms that underlie nucleocytoplasmic transport. Next, we focus on XPO1 to describe some of the experimental approaches that are frequently applied to investigate its function. Finally, we illustrate the use of these approaches using the recently described case of the USP12/wDR20 complex [1] as an example. KEywORDS: nucleocytoplasmic transport, XPO1, NES, wDR20, USP12. Ekaia, 2020, 37, 221-239 https://doi.org/10.1387/ekaia.20861
Small College Counseling Centers

College counseling centers have experienced continued change and development in roles and functions since their inception in the 1930s. Recent shifts include a focus on personal counseling, the broadening of services, and an increased severity in student problems. Administrative policy, restricted staffing, and limited budgets particularly impact small college counseling centers. This article explore these issues through a case study format and discusses the concurrent philosophical and training implications as challenges for the small college counseling center of the 1990s.
Symptom Spectrum in First-Episode Psychosis

DOI: 10.21276/sjams.2018. 6.12. 50 Abstract: The formation of the concept of „First-episode Psychosis‟ dates back to 1983, when the term was first used to describe patients suffering from schizophreniform disorder who were followed till the development of schizophrenia. Though initially it referred to first-episode schizophrenia, gradually it stood as an independent diagnosis as the early intervention in psychosis services developed world-wide. Owing to the lack of consensus regarding the definition of the firstepisode psychosis, various researchers operationalised the definitions for an individual study. This resulted in incomparability of the researches amongst themselves. However, the new label, often used in the early intervention services has been very useful to address the problem in its infancy, decreasing the possibility of more extensive psychological, social and biological damage in the early critical period of the illness. Still none of our classificatory systems have set the diagnosis criteria for first-episode psychosis due to lack of evidence based knowledge, which can be gathered step by step from such small researches. This particular observational study held in outpatient department of of psychiatry at post-graduate institute of behavioural and medical sciences used diagnostic tools like ICD 10 DCR, Present Status Examination and Brief psychiatric rating scale. SPSS version 16 calculated the percentage. Results show that majority of the patients of first-episode psychosis can be diagnosed as having schizophrenia(58.7%) as well as acute and transient psychotic disorders(32.7%). Most of them have positive symptoms like hallucinations, delusions and irrelevance in speech, which should be targeted as soon as elicited regardless of the diagnosis to improve the long-term outcome of the patients.
LACS: Load-Aware Cache Sharing with Isolation Guarantee

Cluster caching has been increasingly deployed in front of cloud storage to improve I/O performance. In shared, multi-tenant environments such as cloud datacenters, cluster caches are constantly contended by many users. Enforcing performance isolation between users hence becomes imperative to cluster caching. A user's caching performance critically depends on two factors: (1) the amount of cache allocation and (2) the load of servers in which its files are cached. However, existing cache sharing policies only provide guarantees on the amount of cache allocation, while remaining agnostic to the load of cache servers. Consequently, "mice" users having files co-located with "elephants" contributing heavy data accesses may experience extremely long latency, hence receiving no isolation. In this paper, we propose a Load-Aware Cache Sharing scheme (LACS) to enforce isolation between users. LACS keeps track of the load contributed by each user and reins back the congestions caused by elephant users by throttling their cache usage and network bandwidth. We have implemented LACS atop Alluxio, a popular cluster caching system. EC2 deployment shows that LACS achieves performance isolation in the presence of elephants, while improving the mean read latency by up to 80.4% (25.3% on average) over the state-of-the-art load balancing technique.
Tugas Akhir PENDAHULUAN

Dalam proses permesinan sangat dipengaruhi oleh perkakas permesinan. Karena perkakas permesinan akan mempengaruhi sifat mampu mesin. Mampu mesin dan material benda kerja akan menentukan kualitas produk hasil proses permesinan. Mampu mesin dipengaruhi oleh beberapa hal seperti parameter pemotongan, kombinasi material pahat dan benda kerja, geometri pahat dan penggunaan cairan pendingin. Pada geometri pahat terdiri dari dua jenis geometri, yaitu geometri makro dan mikro. Geometri makro merupakan ukuran dari pahat, sedangkan geometri mikro merupakan bentuk mata potong dari pahat. Geometri mata potong akan mengalami beban termal dan mekanik selama proses pemotongan [1]. Permukaan benda kerja hasilnya akan sangat dipengaruhi oleh bentuk geometri pahat sehingga bentuk mata potong pahat sangat perlu diperhatikan dalam proses permesinan [2]. Sehingga perlu diperhatikan bentuk geometri pahat agar hasil proses permesinan pada benda kerja kualitasnya bagus.
Appendix 10: A whole farm systems analysis of greenhouse gas emissions of 60 Tasmanian dairy farms Published in the Animal Feed Science and Technology, 166-167, 653-662

The Australian dairy industry contributes approximately 1.6% of the nation’s greenhouse gas (GHG) emissions, emitting an estimated 8.9 million tonnes of CO2 equivalents (t CO2e) per annum (DCC, 2008). This study examined GHG emissions of 60 Tasmanian dairy farms using the Dairy Greenhouse gas Abatement Strategies calculator (DGAS), which incorporates International Panel on Climate Change (IPCC) and Australian inventory methodologies, algorithms and emission factors. Sources of GHG emissions including pre-farm embedded emissions associated with key farm inputs (i.e., grains/concentrates, forages and fertilizers) and on-farm emissions from CO2, CH4 and N2O are estimated by DGAS software. A detailed description of GHG calculations and functionality of DGAS software are provided. Total farm GHG emissions of 60 Tasmanian dairy farms, as estimated with DGAS, ranged between 704 and 5,839 t CO2e/annum, with a mean of 2,811 t CO2e/annum. Linear regression analyses showed that 0.93 of the difference in total farm GHG emission was explained by milk production. The estimated mean GHG emission intensity of milk of production was 1.04 kg CO2e/kg fat and protein corrected milk (FPCM; ranged between 0.83 and 1.39 t CO2e/t FPCM)) with a standard deviation of 0.13. Stepwise multiple linear regression analysis showed that feed conversion efficiency (kg FPCM/kg dry matter (DM) intake) and N based fertilizer application rate explained 0.60 of the difference in the GHG emissions due to milk production from these pastoral based dairy systems. The estimated mean per cow and per hectare emission intensity was 6.9 ± 1.46 t CO2e/cow and 12.6 ± 4.37 t CO2e/ha, respectively. Stepwise multiple linear regression analysis showed that DM intake per cow (t DM intake/cow/lactation) explained 0.86 of the variability in per cow GHG emissions intensity, while milk production per hectare (t FPCM/ha) explained 0.92 of the variability in per hectare GHG emission intensity. Given the influence that feed conversion efficiency and/or N based fertilizer application rates had on all GHG emissions intensities, it is clear that these factors should be key target areas to lower the intensity of emissions associated with dairying in Tasmania.
Manifestaciones hepatobiliares en pacientes con enfermedad inflamatoria crónica intestinal

It is common for patients with inflammatory bowel disease to present analytical or clinical changes pointing to the presence of hepatobiliary disease. The frequency of such findings ranges between 11-49 % in ulcerous colitis and between 15-30 % in Crohn's disease. In some cases, the alterations are found when the patient is first examined, while in others they emerge during the course of the disease. An observational retrospective descriptive study was conducted of 180 patients with inflammatory bowel disease cared for at the Institute of Gastroenterology. Hepatobiliary manifestations were found in 17 patients (9.4 %): 12 with ulcerous colitis and 5 with Crohn's disease. The variables studied were sex, age, years of evolution by type of inflammatory disease, type of hepatobiliary manifestation, clinical symptoms, study of hepatic enzymes and ultrasonographic findings. There was a predominance of patients with ulcerous colitis. Female sex prevailed in ulcerous colitis. No significant differences were found in Crohn's disease. Age ranged between 30-49. The most common hepatobiliary manifestations were liver disease of unknown etiology in Crohn's disease and primary sclerosing cholangitis in ulcerous colitis. The prevailing clinical symptom in both groups was asthenia. Pruritus and jaundice were also predominant in ulcerous colitis. With respect to biochemical enzymes, there was a predominance of hypertransaminasemia. Ultrasonographically, a granular aspect and increased hepatic echogenicity were the prevailing features.