Miracle-dz/UniFAR-FTUs huggingface dataset:
Cannabis, Cannabinoids and Cannabis-Based Medicines in Cancer Care

As medical cannabis becomes legal in more states, cancer patients are increasingly interested in the potential utility of the ancient botanical in their treatment regimen. Although eager to discuss cannabis use with their oncologist, patients often find that their provider reports that they do not have adequate information to be helpful. Oncologists, so dependent on evidence-based data to guide their treatment plans, are dismayed by the lack of published literature on the benefits of medical cannabis. This results largely from the significant barriers that have existed to effectively thwart the ability to conduct trials investigating the potential therapeutic efficacy of the plant. This is a narrative review aimed at clinicians, summarizing cannabis phytochemistry, trials in the areas of nausea and vomiting, appetite, pain and anticancer activity, including assessment of case reports of antitumor use, with reflective assessments of the quality and quantity of evidence. Despite preclinical evidence and social media claims, the utility of cannabis, cannabinoids or cannabis-based medicines in the treatment of cancer remains to be convincingly demonstrated. With an acceptable safety profile, cannabis and its congeners may be useful in managing symptoms related to cancer or its treatment. Further clinical trials should be conducted to evaluate whether the preclinical antitumor effects translate into benefit for cancer patients. Oncologists should familiarize themselves with the available database to be able to better advise their patients on the potential uses of this complementary botanical therapy.
Efficient and intuitive teaching of redundant robots in task and configuration space

A major goal of current robotics research is to enable robots to become co-workers that learn from and collaborate with humans efficiently. This is of particular interest for small and medium-sized enterprises where small batch sizes and frequent changes in production needs demand a high flexibility in the manufacturing processes. A commonly adopted approach to accomplish this goal is the utilization of recently developed lightweight, compliant and kinematically redundant robot platforms in combination with state-of-the-art human-robot interfaces. However, the increased complexity of these robots is not well reflected in most interfaces as the work at hand points out. Plain kinesthetic teaching, a typical attempt to enable lay users programming a robot by physically guiding it through a motion demonstration, not only imposes high cognitive load on the tutor, particularly in the presence of strong environmental constraints. It also neglects the possible reuse of (task-independent) constraints on the redundancy resolution as these have to be demonstrated repeatedly or are modeled explicitly reducing the efficiency of these methods when targeted at non-expert users. In contrast, this thesis promotes a different view investigating human-robot interaction schemes not only from the learner’s but also from the tutor’s perspective. A two-staged interaction structure is proposed that enables lay users to transfer their implicit knowledge about task and environmental constraints incrementally and independently of each other to the robot, and to reuse this knowledge by means of assisted programming controllers. In addition, a path planning approach is derived by properly exploiting the knowledge transfer enabling autonomous navigation in a possibly confined workspace without any cameras or other external sensors. All derived concept are implemented and evaluated thoroughly on a system prototype utilizing the 7-DoF KUKA Lightweight Robot IV. Results of a large user study conducted in the context of this thesis attest the staged interaction to reduce the complexity of teaching redundant robots and show that teaching redundancy resolutions is feasible also for non-expert users. Utilizing properly tailored machine learning algorithms the proposed approach is completely data-driven. Hence, despite a required forward kinematic mapping of the manipulator the entire approach is model-free allowing to implement the derived concepts on a variety of currently available robot platforms.
THE CONCEPTUAL FRAMEWORK OF STUDY TO ANALYZE THE STATUS OF WOMEN IN PAKISTANI FAMILY SYSTEM

In prior times, women were oppressed and abused by way of every attainable method in societies. They endured lots of critique, needed opportunity and stood no place close to men. They were denied of the essential inheritances of an individual. It required lots of exertion and boldness for them to stamp an impression of "the potential and capability of women" and make a critical spot in the community. The objective of this research paper was to analyze the status of women in Pakistan in other word status provided to women in Pakistani family structure and also to analyze its status in Islamic. For the results secondary data was collected from books, research papers, journals and different reports. It was found that women facing violence at various stages in their life in Pakistan. This adversely influences the character/traits of women, harms mental and actual wellbeing and obliterates creativity and efficiency of their endeavors. Low proficiency pace of women, absence of clinical facilities in various areas and no kind of revenue for family women is in problem with women. Here regarding women status, the teaching of Islamic is neglected. It was concluded that, With regards to Pakistan, the indispensable issue is that our religion Islamic has not had the option to cancel the exceptionally old un-Islamic and furthermore cruel social indecencies that are being exercised in the land. Hence, ancestral, family, tribal imagery has gotten more prevailing and helpful than the confidence of Islamic. So it was recommended that the government should maintain the status of women according to teaching of Islamic.
A fast manhattan frame estimation method based on normal vectors

In most human made scenes, such as high‐rise urban city or indoor environment, the surface normal vectors or direction vectors are concentrated in three orthogonal principal directions. The scene of such a pattern is called Manhattan World (MW), and the coordinate frame formed by the three principal directions is called Manhattan Frame (MF). MF estimation methods have been applied to many different fields, such as scene reconstruction, Visual based Simultaneous Localization And Mapping (V‐SLAM) and camera calibration. In this paper, we propose a novel MF estimation method based on a set of normal vectors. A cost function of normal vectors and MF axes is introduced based on the trigonometric function. For computational purpose, the cost function is significantly simplified by making use of vector dot and cross products, and the reduced cost function only involves 14 scalar parameters that need to be computed with O(n) complexity. The experimental results show that the proposed MF estimation method has excellent real‐time performance and gives high accuracy on both the virtual and real‐world benchmark datasets of different sizes.
Pelvic Floor Muscle Strength and the Postural Balance in Middle-Aged Women: A Pilot Study

Abstract Aim To investigate if pelvic floor muscles’ (PFMs’) strength is associated with postural balance in middle-aged women. Methods The participants were 22 middle-aged women (age: 57 ± 6 years). They completed a clinical and urogynecological evaluation, PFMs’ strength testing using a perineometer, and balance testing on a force platform. The balance variables analyzed were anteroposterior (AP) and side-to-side (SS) center of pressure (COP) displacement; 95% elliptical COP area (cm2), AP and SS COP displacement median frequency. Results PFMs’ strength was moderately correlated with SS COP displacement and with AP COP median frequency in semi-tandem. Age and educational level affected the relationship between PFMs’ strength and balance. Conclusion PFMs’ strength had the strongest associations with SS COP displacement in eyes-open semi-tandem and AP COP median frequency in eyes-closed semi-tandem. Thus, these results allow us to conclude that there may be some relationship between pelvic floor muscle strength and postural balance in middle-aged women.
Printed polymer photonic devices for optical interconnect systems

Polymer photonic device fabrication usually relies on the utilization of clean-room processes, including photolithography, e-beam lithography, reactive ion etching (RIE) and lift-off methods etc, which are expensive and are limited to areas as large as a wafer. Utilizing a novel and a scalable printing process involving ink-jet printing and imprinting, we have fabricated polymer based photonic interconnect components, such as electro-optic polymer based modulators and ring resonator switches, and thermo-optic polymer switch based delay networks and demonstrated their operation. Specifically, a modulator operating at 15MHz and a 2-bit delay network providing up to 35.4ps are presented. In this paper, we also discuss the manufacturing challenges that need to be overcome in order to make roll-to-roll manufacturing practically viable. We discuss a few manufacturing challenges, such as inspection and quality control, registration, and web control, that need to be overcome in order to realize true implementation of roll-to-roll manufacturing of flexible polymer photonic systems. We have overcome these challenges, and currently utilizing our inhouse developed hardware and software tools, <10μm alignment accuracy at a 5m/min is demonstrated. Such a scalable roll-to-roll manufacturing scheme will enable the development of unique optoelectronic devices which can be used in a myriad of different applications, including communication, sensing, medicine, security, imaging, energy, lighting etc.
METODOLOGÍA PARA LA GERENCIA DE LOS PROCESOS DEL NEGOCIO SUSTENDA EN EL USO DE

Present companies require of complex businesses models with an organizational structure, processes and systems that must explicitly be designed. The task to design these business models is clearly interdisciplinary, since it requires knowledge of business development, different processes that happen in the company and of the processes management and technological applications. In software engineering context, it would be advisable to be able to count on a system of methods, tools and techniques that allow reusing the best practices during software development process, according to each one of the processes that are implemented in each domain. On this basis, in this work we propose an integral referential theoretician framework and a methodology that includes from requirements analysis to processes monitoring, supporting analysis, design, and modeling and configuration stages, through patterns use. The proposal methodology is conformed by two macro-processes: the first one related to the creation of the process itself. The second one corresponds to the administration, and includes: maintenance, administration of the process in production and the monitoring through management indicators.
Online Learning Methods during COVID-19 Pandemic: On an Indonesian Nursing Student Experience

BACKGROUND: The policy of limiting community activities during the COVID-19 pandemic affects the learning process. The expectation of the online learning methods is a stressor for the students. For this reason, it is necessary to explore the experiences of the students during online learning. AIM: The purpose of this study was to explore the experiences, especially hopes and needs of the students, while undergoing online learning during the COVID-19 pandemic. METHODS: This study applied a qualitative approach with a phenomenological design. The participants involved were six health students from the Faculty of Health Sciences in Yogyakarta, Indonesia. They were recruited using a purposive sampling technique. Data were collected through online interview. The data were then analyzed using the Colaizzi technique. RESULTS: The results illustrated that there are two themes of the students’ expectations during the learning, including the expectations of the learning process and the expectations of the lecturers. There are two themes for the students’ needs during the online learning, namely, family support and internet network support. The students expect that the learning process is carried out with a combination of learning methods and the lecturers to understand the problems faced by students. CONCLUSION: The students need the support of a good internet network and family support so that they can participate in the online learning well.
Effectiveness of lifestyle modification on quality of life among uncontrolled diabetics and hypertensives in India – Community based intervention study

Background: Diabetes and hypertension contribute to more than half of morbidity, mortality and years lived with disability in developing countries like India. It impacts the quality of life (QoL) of patients and their family. Management of these diseases is in infancy and emphasis is laid on pharmacological interventions. Though nonpharmacological measures are crucial for management, their implementation is questionable. Hence, this study was conducted to measure the effectiveness of lifestyle modifications on QoL among uncontrolled hypertensives and diabetics in rural India. Methods: An interventional study was done in 3 villages with 100 participants each, where village one received lifestyle modification as intervention and village two physical activity and village three control receiving standard care. The baseline data included socio-demographic characteristics such as awareness of hypertension, diabetes, lifestyle pattern and physical activity, and WHO QoL. The participants were trained, followed up, and assessed after 12 months following intervention. QoL scores between groups and pre- and post-intervention in the group were compared using Mann–Whitney U and Wilcoxon signed-rank test, respectively. Results: In this study, there was a significant improvement in overall QoL and in all the four domains, namely physical, psychological, social relationship, and environmental domains in both the intervention villages. QoL was significantly better in both the intervention groups following intervention than compared to the control group. Conclusions: QoL improves with intervention on uncontrolled diabetics and hypertensives. It is time to emphasize on the collaboration among physicians and on the holistic integrative health services delivery for non-communicable diseases.
Canadian Broadcasting Policy — A Broad Perspective

Mesdames, Messieurs, Je suis heureux de vous saluer et je vous remercie de votre aimable invitation a prendre la parole devant vous au-jourd'hui. Aux specialistes que vous etes, j'apporterai le point de vue a lafois plus modeste et plus englobant du generaliste. — Au depart, cependant, generalisteset specialistes Canadiens partagent avec vous une conviction fondamentale: pour demeurer concurrentiel et conserver sa place dans le peloton de tete des nations les plus industrialisees, le Canada doit necessairement adopter les nouvelles technologies, en particulier celles des communications, susceptibles d'ameliorer la productivite, les couts et l'innovation, tout en favorisant la qualite de la vie. — Dans cette perspective, le gouvernement du Canada, par ses institutions, ses politiques, ses programmes et ses projets et par sa collaboration etroite avec le secteur prive. a ete et demeure activement un des moteurs principaux des progres technologiques realises dans notre pays. Cependant, il ne considere pas le progres technique comme une fin en soi. Sa finalite ne saurait etre uniquement d'ordre economique, elle doit en englober l'impact humain et social. — Au ministere des communications en particulier, nous considerons les technologies nouvelles comme generatrices de progres economiques, certes, mais aussi comme moyens d'atteindre des objectifs sociaux et culturels, ainsi que la loi sur la radio-diffusion l'indique clairement a l'article 3 lorsqu'elle declare: “Que le systeme de la radiodiffusion Canadienne devrait etre possede et controle effectivement par des Canadiens de facon a sauvegarder, enrichir et raffermir la structure culturelle, politique, sociale et economique du Canada. ”
Leveraging Student Research Consultants to Support Reference Services: A Case Study Comparison of Services Before and During the Pandemic

Abstract The pandemic affected all aspects of daily life, including how library reference services are provided. This case study reviews and analyzes the sudden changes in the training and responsibilities of student research consultants (SRCs) who had to switch from in-person to online reference services. The university library at Cal State LA uses a peer-research model with SRCs providing the first tier of reference interactions. In this study, we examined the number and the duration of reference transactions, the READ Scale distribution, usage of reference services, and the ratings of the reference service during the pre-COVID and COVID periods. In fall 2020, study results showed an overall decline of reference interactions with changes in duration, READ Scale distribution, and researcher type. We hope other libraries can learn from our experiences.
Development of UAV with Passive Rotating Spherical Shell for Bridge Inspection and its Evaluation of Inspection Capability in Real Bridges

本稿では,飛行ロボットによる災害・インフラ調査の例 として,東北大学など 5機関で 2013年より開発を進めて いる受動回転球殻を有するマルチコプタ(図 1)[1] [2]と, その橋梁点検への適用事例について紹介する. 橋梁の点検 方法には,橋梁に間近まで近接し表面の損傷を探す近接目 視点検と,ハンマーで表面に打撃を加え反響音で内部の損 傷を探す打音検査があるが,本稿ではこれまでの開発で実 橋梁における複数の実証機会がえられているマルチコプタ による近接目視点検について主に紹介する. 橋梁やトンネルといった社会インフラの点検を代替ある いは支援する飛行ロボットの開発が多くの機関で進められ ている [3]~[5]が,その背景には社会インフラの急速な老 朽化および現状の点検手法にかかるコストの問題がある. 2013年 4月の国土交通省道路局の集計 [6]によれば,国 内には道路橋(2 [m]以上)が 70万橋以上存在する. その うちの 2割は老朽化の目安とされる建設後 50年を超えて おり,20年後には 7割まで増加する. トンネルについても 同様の状況であり,建設後 50年を超えるものは 2013年時 点で 2 割,20年後には 5 割に到達する. この状況を勘案 し,2014年度からすべての橋梁やトンネルの点検頻度を 5 年に 1回以上とすることが国交省により義務付けられたが, 点検作業者や点検用特殊車両の数の不足も深刻である. また,現状の点検手法では,作業者を高所や入り組んだ 部位に近づけるための足場の建設や,高所作業車ないし橋 梁点検車の使用が必要である. しかし,前者には長くて数 日を要するためコストや効率の問題が,後者は車道の交通 規制を伴うため渋滞による経済損失の問題がある. このような社会インフラの点検を飛行ロボットにより代 替あるいは支援することで,足場の建設や交通規制を最小 化し点検を効率化・省人化できる可能性があることから,飛
Reproduction of Iranian-Islamic Mirror Work in Modern Art (Emphasizing the Works of Monir Shahroudy Farmanfarmaian)

The art of mirror work contains Islamic geometric patterns that are used to decorate the interior surfaces of buildings by creating regular shapes in various designs and patterns with small and large pieces of mirrors, and is well received in contemporary Iranian art. The result of this completely Islamic art is the creation of a bright and radiant atmosphere that arises from the successive reflection of light in countless pieces of mirrors. How to play Iranian-Islamic mirror work in modern and contemporary Iranian art is the subject of the present study and the intention is to identify and explain how the effect of mirror work in presenting the works of this artist by emphasizing the works of Monir Shahroudy Farmanfarmanian. Therefore, the main question is how the mirror has been reflected in the new Iranian art and how Monir Farmanfarmaeian has used the geometric patterns of the mirror in presenting new works of art. To achieve the desired goals, a qualitative research method with a descriptive-analytical nature was adopted and the studied works collected through library resources were analyzed by qualitative content analysis. Also, the sampling method has been done purposefully in line with the research objectives with emphasis on the works of Monir Farmanfarmaeian. Finally, the results showed that Monir Farmanfarmaeian's artworks can be identified along postmodern currents such as conceptual, pop and minimal art with the praise of Iranian-Islamic mirror art and contain metaphysical and metaphorical references with the capacity to present the concept of art.
Discovering signals of platform failure risks from customer sentiment: the case of online P2P lending

PurposeDigital platforms have grown significantly in recent years. Although high platform failure risks (PFR) have plagued the industry, the literature has only given this issue scant treatment. Customer sentiments are crucial for platforms and have a growing body of knowledge on its analysis. However, previous studies have overlooked rich contextual information emb`edded in user-generated content (UGC). Confronting the research gap of digital platform failure and drawbacks of customer sentiment analysis, we aim to detect signals of PFR based on our advanced customer sentiment analysis approach for UGC and to illustrate how customer sentiments could predict PFR.Design/methodology/approachWe develop a deep-learning based approach to improve the accuracy of customer sentiment analysis for further predicting PFR. We leverage a unique dataset of online P2P lending, i.e., a typical setting of transactional digital platforms, including 97,876 pieces of UGC for 2,467 platforms from 2011 to 2018.FindingsOur results show that the proposed approach can improve the accuracy of measuring customer sentiment by integrating word embedding technique and bidirectional long short-term memory (Bi-LSTM). On top of that, we show that customer sentiment can improve the accuracy for predicting PFR by 10.96%. Additionally, we do not only focus on a single type of customer sentiment in a static view. We discuss how the predictive power varies across positive, neutral, negative customer sentiments, and during different time periods.Originality/valueOur research results contribute to the literature stream on digital platform failure with online information processing and offer implications for digital platform risk management with advanced customer sentiment analysis.
A Framework for Analyzing the Impact of Data Integrity/Quality on Electricity Market Operations

This talk examines the impact of data integrity/quality in the supervisory control and data acquisition (SCADA) system on real-time locational marginal price (LMP) in electricity market operations. Measurement noise and/or manipulated sensor errors in a SCADA system may mislead system operators about real-time conditions in a power system, which, in turn, may impact the price signals in real-time power markets. This research serves as a first step to analytically investigate the impact of bad/malicious data on electric power market operations. The first part of this talk studies from a market participant’s perspective a new class of malicious data attacks on state estimation, which subsequently influences the result of the newly emerging look-ahead dispatch models in the real-time power market. We propose a novel attack strategy, named ramp-induced data (RID) attack, with which the attacker can manipulate the limits of ramp constraints of generators in look-ahead dispatch, leading to financial profits while being undetected by the existing bad data detection algorithm embedded in the state estimator. In the second part, we investigate from a system operator’s perspective the sensitivity of locational marginal price (LMP) with respect to data corruption-induced state estimation error in real-time power market. We present an analytical framework to quantify real-time LMP sensitivity subject to continuous and discrete data corruption via state estimation. The proposed framework offers system operators an online tool to identify economically sensitive buses and transmission lines to data corruption as well as find sensors that impact LMP changes significantly and influentially.