Miracle-dz/UniFAR-FTUs huggingface dataset:
An Approach to Analyzing Shippers' Transportation Management Organization

Purpose: The purpose of this article is to present an approach to analyzing the organizational design of shippers' transportation management from a process perspective. Methodology: The proposed analysis approach is based on a comprehensive literature review on transportation management. The literature is categorized by horizontal, vertical, and internal organizational design strategies as well as process levels. Findings: The literature review reveals organizational design strategies and processes of transportation management. Furthermore, by transferring the results into an approach to analyzing the organizational design of a transportation management, it is shown that processes are shaped by organizational design strategies, which can lead to a variety of process variants. Each of these process variants, in turn, influences the performance of a transportation management organization. Originality: The revealed organizational design strategies and processes contribute to explanation-oriented and design-oriented research in the context of transportation management. The proposed analysis approach further provides a methodological contribution for shippers dealing with the optimization of their transportation management.
Evidence That Monoclonal Antibodies against CD9 Antigen Induce Specific Association between CD9 and the Platelet Glycoprotein IIb-IIIa Complex*

Monoclonal antibodies to the CD9 antigen are pow- erful platelet agonists. We report here the novel finding that the anti-CD9 monoclonal antibodies 50H.19 and ALBa promote physical association between CD9 antigen and the glycoprotein IIb-IIIa complex (GPIIb- IIIa) component of the platelet fibrinogen receptor. The monoclonal antibodies do not consistently immu- noprecipitate proteins other than CD9 from lz6I-1a- beled human platelets even if the platelets are first treated with the homobifunctional cross-linking re- agent dithiobis(succinimidy1 propionate), indicating that CD9 antigen is not physically associated with other membrane proteins in the resting state. However, the addition of agonistic concentrations of either monoclonal antibody before cross-linking results in the co- precipitation of proteins corresponding in mobility and peptide composition to GPIIb, and GPIIIa. The associ- ation of CD9 with the GPIIb-IIIa complex is unaffected by a combination of aspirin and ADP scavengers suf- ficient to abrogate anti-CD9 monoclonal antibody-in-duced platelet aggregation, and is therefore not dependent upon thromboxane- and ADP-mediated path- ways of intracellular signalling. The specificity of the association is demonstrated by the lack of other co- precipitating major proteins,
Brain Oligomeric A -Amyloid but Not Total Amyloid Plaque Burden Correlates With Neuronal Loss and Astrocyte Inflammatory Response in Amyloid Precursor Protein/Tau Transgenic Mice

It has long been assumed that A -amyloid (A A ) had to assemble into ﬁbrillar amyloid plaques to exert its neurotoxic effects in Alzheimer disease. An alternative hypothesis is that soluble oligomers of A A play a much larger role in neuronal damage than the insoluble component. We have tested these competing hypotheses in vivo by studying the clinicopathologic correlates of oligomeric A A species and classic ﬁbrillar amyloid plaques in the brains of double-transgenic APP sw -tau vlw mice up to 17 months of age. Biochemical and immu-nohistochemical measures of brain oligomeric A A exponentially increased with age. Oligomeric A A load correlated with morphological markers of ﬁbrillar A A deposition. In contrast to total amyloid plaque burden, the amount of oligomeric A A deposits labeled by the conformational epitope-speciﬁc antibody Nab61 closely correlated with neuronal loss and numbers of astrocytes in the entorhinal cortex and the CA1 hippocampal subﬁeld. However, like other morphological A A measurements, brain oligomeric A A burden did not correlate well with memory deﬁcits in these mice. The number of glial ﬁbrillary acidic protein Y positive astrocytes in entorhinal cortex and CA1 most tightly correlated with memory impairment and neuronal cell loss. Based on these ﬁndings, we hypothesize that the astrocyte response, which is likely triggered by brain oligomeric A A accumulation, adversely affects cognition and might also contribute to neuronal cell death in this model. shown that stable A A oligomers decrease cell surface expression of N -methyl- D -aspartic acid Y type receptors, inhibit induction of long-term potentiation, facilitate long-term depression, alter dendritic spine density, and affect hippocampal synaptic plasticity (12 Y 19). Together, these studies suggest that oligomeric forms of A A are potentially responsible for loss of connectivity and disrupted memory-related synaptic plasticity in AD. However, several fundamental questions remain unanswered. Speciﬁcally, does oligomeric A A correlate with other measures of A A deposition (classical ﬁbrillar amyloid plaques), and how does oligomeric A A relate to the other neurodegenerative hallmarks of AD (e.g. tau pathology, neuronal cell loss, and gliosis) and with clinical manifestations?
THE IMPACT OF TRAINING PROGRAMME BASED ON STRATEGIES OF IMPROVING MEMORY ON THE MINDFULNESS SKILLSAMONG FIRST INTERMEDIATE STAGE STUDENTS

The current research paper aims at identifying the impact of training programme based on strategies of improving memory in developing the mental alertness skills among first intermediate stage students. To achieve the objectives of the current paper, the two researchers conducted training programme which is based on the Addie model and that this programme consists of nine training units. The first unit is introductory and the other eight units represent strategies of improving memory by (34) training sessions . However, the contents of training programme sessions are included in the topics which students have taught including (science, geography, national education, Islamic education, mathematics, and Arabic). To prevent including extracurricular topics which may affect negatively on the results of the experiment given that the main purpose is to focus on strategies of improving memory more than including new topics. Moreover, the two researchers conducted establishing a scale of mental alertness skills which consist of (40) items. Each item has three options which covered the mental alertness skills which include the following: (Skill of observation, skill of description, skill of behaving consciously, skill of approval)by (10) items each skill. The two researchers have adopted semi-experimental design of partial control of two groups of experimental and control groups after carrying out equivalence. The two researchers have trained the two groups and after finishing the training programme the scale of the mental alertness skills has been applied and it shows that the experimental group has excelled on the control group in the mental alertness skill.
A self-administered, arti�cial intelligence (AI) platform for cognitive assessment in multiple sclerosis (MS)

Background Cognitive impairment is common in patients with MS. Accurate and repeatable measures of cognition have the potential to be used as markers of disease activity. Methods We developed a 5-minute computerized test to measure cognitive dysfunction in patients with MS. The proposed test – named the Integrated Cognitive Assessment (ICA) – is self-administered and language-independent. 91 MS patients and 83 healthy controls (HC) took part in Substudy 1, in which each participant took the ICA test and the Brief International Cognitive Assessment for MS (BICAMS). We assessed ICA’s test-retest reliability, its correlation with BICAMS, its sensitivity to discriminate patients with MS from the HC group, and its accuracy in detecting cognitive dysfunction. In Substudy 2, we recruited 48 MS patients, 38 of which had received an 8-week physical and cognitive rehabilitation programme and 10 MS patients who did not. We examined the association between the level of serum neuro�lament light (NfL) in these patients and their ICA scores and SDMT scores pre-and post-rehabilitation. Results The ICA demonstrated excellent test-retest reliability (r=0.94), with no learning bias, and showed a high level of convergent validity with BICAMS. The ICA was sensitive in discriminating the MS patients from the HC group, and demonstrated high accuracy (AUC = 95%) in discriminating cognitively normal from cognitively impaired participants. Additionally, we found a strong association (r=-0.79) between ICA score and the level of NfL in MS patients before and after rehabilitation. Conclusions The ICA has the potential to be used as a digital marker of cognitive impairment and to monitor response to therapeutic interventions. In comparison to standard cognitive tools for MS, the ICA is shorter in duration, does not show a learning bias, and is independent of language.
A Surevy on Detection of Sinkhole Attack in Wireless Sensor Network

: Wireless Sensor Network is a collection of the large number of small sensor node that has the capabilities to sense, collect, and disseminate information in many types of applications. This paper focuses on exploring several types of security attack in wireless sensor network and counteragent against sinkhole attack. The Introduction sections give brief information about WSN, its components, and architecture. Then in next section discuss Sinkhole attack and its counteragent method.
An E�cient Method to Detect Communities in Social Networks

Social networks represent the social structure, which is composed of individuals having social interactions among them. The interactions between the units in a social network represent the relations of the various social contacts and aim at finding different individuals in that network, with similar interests. It is a challenging problem to detect the social interactions between individuals with comparable considerations and desires from a large social network, which can be termed as community detection. Detection of the communities from social networks has been done by other authors previously, and many community identification algorithms were also proposed, but those communities' identification has been achieved on the online available data sets. The proposed algorithm in this paper has been named as Average Degree Newman Girvan (ADNG) algorithm, which can easily identify the communities from the real-time data sets, collected from the social network websites. The approach presented here is based on first determining the average degree of the network graph and then identifying the communities using the Newman Girvan algorithm. The proposed algorithm has been compared with three community detection algorithms, i.e., Leading eigenvector (LEC) algorithm, Fastgreedy (FG) algorithm, and Kernighan-Lin (KL) algorithm based on a few metric functions. This algorithm helps to detect communities for different domains, like for any proposed government policy, online shopping products, newly launched products in a market, etc.
A Study on Adherence to Therapy among Hypertensives in Urban Slums of Hyderabad

Background information: Chronic non-communicable diseases are posing a serious threat to public health throughout the world, irrespective of whether developed and developing, and thus deserve to be treated as a global health priority in this new millennium. Most common non-communicable diseases are Cardio-vascular diseases, for which uncontrolled hypertension is a risk factor, which is due to poor adherence to anti-hypertensive medication. Aim: To study the prevalence of adherence to therapy among study population. Materials & Methods: A Community based cross sectional study was done for One year from November 2015 to October 2016 in Harazpenta. The total sample size was 400 and cluster sampling technique was used. The study subjects were diagnosed Hypertensive subjects who were on treatment for more than 1year. Data entry was done using Microsoft Excel 2007 and analysis done using EPI INFO Version 7.2. 1.0 Results: Out of 376 study participants, 232(61.70%) were highly adherent to their anti-hypertensive medication according to Morisky Medication Adherence Scale-8. Conclusions: More than half of the Hypertensive subjects showed good adherence patterns to their prescribed medications. The Health system should give priority to the low income families and provide free supply of all classes of antihypertensive medicines.
Generating Code Representations Suitable for Belief Propagation Decoding

We describe a method for transforming a generalized parity check (GPC) matrix representation of a block linear binary code into another GPC matrix representation of the same code. The output GPC matrix has some attractive features from the point of view of iterative decoding algorithms like belief propagation. In particular, the number of ones in each row is reduced, and there are no cycles of length four in the equivalent graphical representation of the code. We illustrate the method for toy examples including the Golay code, and also for a Euclidean Geometry (n=255,k=127) code. The decoding performance of the belief propagation algorithm using our new GPC matrices improves significantly when they are used on the binary erasure channel, but the results are mixed for the additive white Gaussian noise channel–for the Euclidean Geometry code, the performance still improves, but for the Golay code it deteriorates. to be published in the Proceedings of the 40th Annual Allerton Conference on Communications, Control, and Computing This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. Copyright c ©Mitsubishi Electric Research Laboratories, Inc., 2002 201 Broadway, Cambridge, Massachusetts 02139
DRUG TARGETING IN POSTERIOR SEGMENT OF EYE

corneal surface of the eye. Polymeric nanoparticles are also able to target diseases in the posterior segment of the eye such as age-related macular degeneration, cytomegalovirus retinitis, diabetic retinopathy,posterior uveitis and retinitis pigmentosa While the topical and systemic forms of drug delivery are useful in certain diseases. [2] The treatment of these diseases requires a direct and local application of the agent to the posterior eye segment at a therapeutic concentration because the delivery of exogenous molecules to the intraocular tissues including the retina is significantly limited. [3] This review will enlight the update, recent progress and trends in method of targeting of drug in posterior segment of eye. is the that ABSTRACT The presence of ocular barrier and anatomy and physiology of the posterior segment of eye limited the targeting of drug in diseases like age-related macular degeneration, cytomegalovirus retinitis, diabetic retinopathy, posterior uveitis and retinitis pigmentosa. Design of suitable drug dosage regimen can overcome these limitation of drug targeting. In this context the present review article focus on the development of different methods that will increase the efficacy of drug application, resulting in more successful therapy for patients with posterior segment of eye diseases. This article summarizes recent advances in the research and development of drug delivery methods of the posterior chamber of the eye, with an emphasis on the use of implantable devices as well as nanotechnology drug delivery system.
Integrative analysis of clinical health records, imaging and pathogen genomics identifies personalized predictors of disease prognosis in tuberculosis

Tuberculosis (TB) afflicts over 10 million people every year and its global burden is projected to increase dramatically due to multidrug-resistant TB (MDR-TB). The Covid-19 pandemic has resulted in reduced access to TB diagnosis and treatment, reversing decades of progress in disease management globally. It is thus crucial to analyze real-world multi-domain information from patient health records to determine personalized predictors of TB treatment outcome and drug resistance. We conduct a retrospective analysis on electronic health records of 5060 TB patients spanning 10 countries with high burden of MDR-TB including Ukraine, Moldova, Belarus and India available on the NIAID-TB portals database. We analyze over 200 features across multiple host and pathogen modalities representing patient social demographics, disease presentations as seen in cChest X rays and CT scans, and genomic records with drug susceptibility features of the pathogen strain from each patient. Our machine learning model, built with diverse data modalities outperforms models built using each modality alone in predicting treatment outcomes, with an accuracy of 81% and AUC of 0.768. We determine robust predictors across countries that are associated with unsuccessful treatment outcomes, and validate our predictions on new patient data from TB Portals. Our analysis of drug regimens and drug interactions suggests that synergistic drug combinations and those containing the drugs Bedaquiline, Levofloxacin, Clofazimine and Amoxicillin see more success in treating MDR and XDR TB. Features identified via chest imaging such as percentage of abnormal volume, size of lung cavitation and bronchial obstruction are associated significantly with pathogen genomic attributes of drug resistance. Increased disease severity was also observed in patients with lower BMI and with co-morbidities. Our integrated multi-modal analysis thus revealed significant associations between radiological, microbiological, therapeutic, and demographic data modalities, providing a deeper understanding of personalized responses to aid in the clinical management of TB.
RE4SuSy: 4th International workshop on requirements engineering for Sustainable systems, part of the greens alliance

Supporting sustainability has recently become a much discussed research topic and the RE4SuSy workshop series has established a strong and growing research community around the different aspects of sustainability. Software is increasingly the driver for change in business and social spheres of life: it changes life styles and business practices. Since requirements define how and what the software will do, we maintain that requirements engineering is the key point in software engineering through which sustainability can be fostered. The International Workshops on Requirements Engineering for Sustainable Systems (RE4SuSy) is concerned with research on techniques, tools, and processes for sustainability through requirements engineering. RE4SuSy is an interactive workshop: the contributors and prospective participants will engage well before the workshop date through on-line collaborative writing, discussion, and peer feedback. The workshop aims to foster community growth by supporting new collaborations, holding preliminary case studies, discussions, and continuous birds-of-a-feather group work. I. MOTIVATION AND OBJECTIVES
An Editor's Guide to Adobe Premiere Pro

If youre an experienced editor who wants to get up to speed on Adobe Premiere Pro, then look no further than this fast-paced but thorough guide to Adobes flagship editing program. Enjoy the ride as three experienced editors take you step by step through the entire editing process in Adobe Premiere Pro. Youll learn to perform professional editing tasks such as project management, multi-format editing, color correction, audio mixing, titling, effects, and delivering your video onto tape, the web, and mobile devices. Plus the whole process moves at an accelerated pace so you can get back to editing even faster. Within a weekend, youll learn everything you need to know to use Adobe Premiere Pro confidently for your own projects and client work.In this no-fluff guide to Adobe Premiere Pro, youll learn to: Quickly import your existing Final Cut or Avid projects, or create new projects to use right away in Adobe Premiere Pro Work within the Adobe editing environment, with powerful insight into applications such as Adobe Photoshop, Adobe After Effects, Adobe Audition, Adobe Media Encoder, Dynamic Link, and Adobe Story Edit your footage the way you like but with workflow advice from a nonlinear editing team with more than 50 years of combined experience Put your advanced editing skills to work immediately by using the accompanying hands-on lesson files to work through the steps in the book Improve your knowledge through engaging video tutorials, handy quick-reference guides, and keyboard shortcut sheets all made available on the books DVD
Passive RFID Tag for Railway Application

Passive RFID tags based on narrow band absorbers are proposed for railway applications. The tags consist of absorbing tiles of size 30 × 30 cm2. The de-signs of these narrow band absorbers are presented based on infinite array approximation by using periodic boundary conditions. Then, the radar cross sections (RCS) of finite tiles of these designed absorbers are compared with the corresponding RCS of a conduction plate of the same size of the tiles. The difference between the RCS of the absorbing tiles and the conducting tiles corresponds to the RFID digit “1” or “0”. An experiential verification for a sample of these narrow band absorbers is presented based on measuring a fi-nite tile inside a transverse electromagnetic (TEM) cell. The design of this TEM cell is also discussed in detail.
Alloimmune Response -Chain Signals, and the g Common On CD28/CD40 Ligand Costimulation,

Activation and robust expansion of naive T cells often require T cell costimulatory signals and T cell growth factors. However, the precise growth and costimulation requirements for activation and expansion of CD4 (cid:2) and CD8 (cid:2) T cells in vivo in allograft response are still not clearly deﬁned. In the present study, we critically examined the role of CD28/CD40 ligand (CD40L) costimulation and the common (cid:1) -chain ( (cid:1) c ) signals, a shared signaling component by receptors for all known T cell growth factors (i.e., IL-2, IL-4, IL-7, IL-9, IL-15, IL-21), in activation and expansion of CD4 (cid:2) and CD8 (cid:2) T cells in the allogeneic hosts. We found that CD28/CD40L costimulation and the (cid:1) c signals are differentially involved in proliferation and clonal expansion of CD4 (cid:2) and CD8 (cid:2) T cells in response to alloantigen stimulation. CD8 (cid:2) T cells are highly dependent on the (cid:1) c signals for survival, expansion, and functional maturation, whereas in vivo expansion of alloreactive CD4 (cid:2) T cells is largely (cid:1) c independent. T cell costimulation via CD28 and CD40L, however, is necessary and sufﬁcient for activation and expansion of CD4 (cid:2) T cells in vivo. In a skin transplant model, blocking both CD28/CD40L and the (cid:1) c pathways induced prolonged skin allograft survival. Our study provides critical insights that the CD4 and CD8 compartments are most likely governed by distinct mechanisms in vivo, and targeting both costimulatory and (cid:1) c signals may be highly effective in certain cytopathic conditions involving activation