Miracle-dz/UniFAR-FTUs huggingface dataset:
Studies of social learning in Norway rats: a brief review.

I review below some of the research on social learning in Norway rats carried out in my laboratory from 1969 to 1980. Two independent lines of research are discussed; both involve analysis in the laboratory of possible instances of social learning first described by observers of free-living, wild rats. The 1st research program analyzes social interactions important in the transmission of learned food preferences from adult rats to their young. The 2nd examines the possibility that the habit of diving in shallow water for food is socially transmitted from 1 rat to another.
Imaging and Management of a Caudal Mandibular Fracture in an Immature Dog

Interfragmentary wire surgical technique was used to repair a caudal mandibular fracture in a 15-week-old Labrador Retriever dog. Computed tomographic imaging aided the diagnosis and treatment planning for the application of this method. Abnormal tooth development of caudal molar teeth was related to the traumatic event and/or surgical technique. The strategically important mandibular first molar tooth was maintained. The fracture fixation method used in this case provided early return to function and radiographic evidence of expected fracture healing during a 10-month period despite wire displacement secondary to tooth eruption.
FATTY ACID SYNTHETASE OF BRAIN: DEVELOPMENT, INFLUENCE OF NUTRITIONAL AND HORMONAL FACTORS AND COMPARISON WITH LIVER ENZYME

Abstract— The activity of fatty acid synthetase was studied in the brain and liver of the developing rat. Synthetase activity in brain was considerably higher in foetal and suckling rats than in older animals However, except for a small transient rise in the perinatal period, activity in liver was low until weaning when a dramatic rise occurred. Activity in brain varied according to the quantity of dietary fat only in long‐term experiments, whereas in liver nutritional influences clearly predominated in determining the rapid developmental changes of synthetase activity. Administration of hydrocortisone diminished hepatic activity but did not change brain synthetase. In the hypothyroid state activity in brain and liver was consistently decreased. However, in the hyperthyroid state hepatic activity increased but activity in brain did not change. The relatively high activity of fatty acid synthetase during brain development has been discussed in relation to the critical role of this enzyme system in brain metabolism. The effect of the hypothyroid state on the activity of brain synthetase suggests the possibility of hormonal control of this enzyme activity. The responses of hepatic synthetase to the hormonal influences delineate a specific step by which these compounds may exert their effect on fatty acid biosynthesis.
Assessment of Biological Effect of Minimal Acupuncture Using Causal Coherence Function between Blood Pressure and Heart Rate

To assess the effect of acupuncture on the human, 17 healthy volunteers participated in a double-blind randomized crossover clinical trial using real-needle and no-needle seals. In this study, by using systolic blood pressure variability (SBP) and heart rate variability (HR), not only coherence function (K<sup>2</sup>) between SBP and HR but also two causal coherence functions: K<sup>2</sup> <sub>SBPrarrHR</sub> from SBP to HR and K<sup>2</sup> <sub>HRrarrSBP</sub> from HR to SBP were introduced to divide causal linearity of the cardiovascular system regarded as a closed-loop system. K<sup>2</sup> represents total linearity of the system. K<sup>2</sup> <sub>SBPrarrHR</sub> and K<sup>2 </sup> <sub>HRrarrSBP</sub> correspond to the baroreflex system and the mechanical hemodynamics, respectively. The results showed that K<sup>2 </sup> <sub>SBPrarrHR</sub> over the low frequency band (0.04-0.15 Hz) underwent a lot of change in real-needle acupuncture but did not in no-needle acupuncture. And there was difference in K<sup>2</sup> <sub>HRrarrSBP</sub> over the high frequency band (0.15-0.45 Hz) immediately after the stimulation of acupuncture. These results have never been obtained from conventional methods dealing with a cardiovascular system as an open-loop system
Insect-Derived Cecropins Display Activity against Acinetobacter baumannii in a Whole-Animal High-Throughput Caenorhabditis elegans Model

ABSTRACT The rise of multidrug-resistant Acinetobacter baumannii and a concomitant decrease in antibiotic treatment options warrants a search for new classes of antibacterial agents. We have found that A. baumannii is pathogenic and lethal to the model host organism Caenorhabditis elegans and have exploited this phenomenon to develop an automated, high-throughput, high-content screening assay in liquid culture that can be used to identify novel antibiotics effective against A. baumannii. The screening assay involves coincubating C. elegans with A. baumannii in 384-well plates containing potential antibacterial compounds. At the end of the incubation period, worms are stained with a dye that stains only dead animals, and images are acquired using automated microscopy and then analyzed using an automated image analysis program. This robust assay yields a Z′ factor consistently greater than 0.7. In a pilot experiment to test the efficacy of the assay, we screened a small custom library of synthetic antimicrobial peptides (AMPs) that were synthesized using publicly available sequence data and/or transcriptomic data from immune-challenged insects. We identified cecropin A and 14 other cecropin or cecropin-like peptides that were able to enhance C. elegans survival in the presence of A. baumannii. Interestingly, one particular hit, BR003-cecropin A, a cationic peptide synthesized by the mosquito Aedes aegypti, showed antibiotic activity against a panel of Gram-negative bacteria and exhibited a low MIC (5 μg/ml) against A. baumannii. BR003-cecropin A causes membrane permeability in A. baumannii, which could be the underlying mechanism of its lethality.
Further tests of a two-state model for choice reaction times.

Falmagne proposed that choice reaction times can be described by a simple model involving two states of perceptual-motor preparation. Lupker and Theios found support for the model in an M-choice (w = 4, 6) reaction time task in which stimulus presentation probability was varied as IT for one stimulus, but was constrained as (1 —*•) / (»— 1) for all the remaining stimuli. The present experiments involve fourand six-choice tasks in which the stimuli differ in their individual presentation probabilities. Sequential mean reaction times and various properties of the reaction time distributions are considered. The model was able to predict with reasonable accuracy all the sequential mean reaction times except those for alternating stimulus sequences. The fixed point and other distributional properties seemed to hold on a general level. However, detailed inspection revealed a few systematic deviations between the data and distributional properties predicted by the two-state model.
Dynamic demand minimization using a smart transformer

Recently the Smart Transformer (ST) has been discussed as a replacements for the traditional transformer, driven by its advantages in terms of controllability and renewable energy integration. Although the Smart Transformer has lower efficiency than the conventional transformer, its control functionality has the potential to be used for wider system energy savings. This paper proposes a control, namely dynamic demand minimization tracking, which is aimed at reducing demand through regulation of the Smart Transformer output voltage. The control can automatically track the minimum demand by firstly identifying the load and then regulating the voltage. The control approach has been validated in a hardware experiment. The performance of the control in terms of demand reduction, is compared with Conservation Voltage Reduction in a 400 kVA, 400 V distribution network considering a typical daily loading profile. The results suggest that the Smart Transformer with dynamic demand minimization tracking control can reduce energy consumption by as much as 5.45%.
In-Field Recognition and Navigation Path Extraction For Pineapple Harvesting Robots

Fruit recognition and navigation path extraction are important issues for developing fruit harvesting robots. This manuscript presents a recent study on developing an algorithm for recognizing “on-the-go” pineapple fruits and the cultivation rows for a harvesting robotic system. In-field pineapple recognition can be difficult due to many overlapping leaves from neighbouring plants. As pineapple fruits (Ananas comosus) are normally located at top of the plant with a crowned by a compact tuft of young leaves, image processing algorithms were developed to recognize the crown to locate the corresponding pineapple fruit in this study. RGB (Red, Green, and Blue) images were firstly collected from top-view of pineapple trees in the field and transformed into HSI (Hue, Saturation and Intensity) colour model. Then, Features of pineapple crowns were extracted and used for developing a classification algorithm. After the pineapple crowns were recognized, locations of the crowns grown in one row were determined and l.
Estrogenic Stimulation of Hypothalamic-Limbic System Metabolism in Ageing Diabetic C57BL/KsJ Mice

The therapeutic influences of estrogen treatment on age- and diabetes-related declines in regional brain glucose utilization (RBGU) rates were evaluated in 8- to 20-week-old female C57BL/KsJ normal (+/? ) and diabetic (db/db) mice. Following either oil vehicle (oil: 0.1 ml) or estradiol (E: 1 µg/3.5 days) treatments starting at 3 weeks of age, RBGU rates were subsequently determined at 8, 12, 16 and 20 weeks of age. A gradual decline in the basal rate of brain glucose utilization was observed in all control (oil- and E-treated) groups between 8 and 20 weeks. Expression of the hyperglycemic-obese diabetes syndrome in db/db mice resulted in a significant reduction in RBGU rates between 8 and 20 weeks relative to control values. In estrogen-sensitive hypothalamic, septal and amygdaloid regions, E therapy modulated RBGU rates in db/db mice relative to oil-treated diabetics, but did not significantly alter utilization rates in +/? mice. In cortical samples, E therapy had no significant influence on glucose utilization rates in either control or diabetic groups. A noticeable pattern of maturation-associated decline in CNS glucose utilization rates in all brain regions resulted in comparable regional metabolic indices being exhibited by all groups at 20 weeks of age, with the exception of the diabetes-associated exacerbation of RBGU rates in the oil-treated db/db group. These data demonstrate that the normal development-related decline in regional brain carbohydrate metabolism is accelerated by the diabetes syndrome, and that E therapy can modulate the syndrome-associated suppression of glucose utilization in steroid-sensitive CNS loci. These data suggest that the depressive influences of the diabetes syndrome on brain carbohydrate utilization rates may be therapeutically modified in recognized CNS regions possessing steroid-sequestering, metabolically responsive neurons.
Assisted curation of growth conditions that affect gene expression in E. coli K-12

Introduction RegulonDB [4] is a database with manually curated knowledge extracted from the literature describing knowledge of transcriptional regulation in E. coli K-12. It contains objects such as genes, promoters, transcription factor binding sites (TFBSs), transcription factors (TFs), terminators and operons. It contains relations among those objects, such as regulatory interactions among TFs and genes, promoters and operons. An important piece of information for the adequate description of knowledge on gene regulation is that of growth conditions (GC) and their corresponding control conditions (CC), which are used in experiments to identify regulatory interactions. Currently RegulonDB has only a small set of GCs, which are known to activate or repress the transcription of a few genes. A list of the mechanisms by means of which the GCs affect gene expression is still missing.
A Report on Coloring with Live Ranges Split

One idea to improve Chaitin-style coloring algorithm [2] in register allocation is to split live ranges. Chaitin-style algorithm we have implemented in assignment 2 simply gives up allocating a register to a live range, if the live range has too many neighbors. Intuitively the idea of live range split can increase the chance of allocating a register to a live range. Actually the smaller a live range is, the fewer neighbors it would interfere with and hence the more chance we would have to allocate a register to it. Priority-based algorithm [1] addressed this issue, but usually the solution can not achieve practically acceptable results as its live range split strategy only aims to color as many live ranges as possible, without taking into account if a split implies negative or positive gains. Current work in the field of live range split goes into three categories, depending on the place where live range split happens. 1) Pre-allocation split applies live range split before the register allocation phase. 2) Post-allocation split applies live range split after the register allocation phase. And 3) Interallocation split only applies live range split when it happens that a live range can not be allocated a register and has to be spilled. In this project we try to design and implement three live range split algorithms corresponding to the three different categories respectively and compare their optimization effects. The remaining sections are arranged as follows. In section 2, we describe our algorithms in details. Performance evaluation of the three algorithms is discussed after the experiment in section 3.
The mindfulness-based relapse prevention adherence and competence scale: Development, interrater reliability, and validity

Abstract The present study describes the development of the Mindfulness-Based Relapse Prevention Adherence and Competence Scale (MBRP-AC), a measure of treatment integrity for mindfulness-based relapse prevention (MBRP). MBRP is a newly developed treatment integrating core aspects of relapse prevention with mindfulness practices. The MBRP-AC was developed in the context of a randomized controlled trial (RCT) of MBRP efficacy and consists of two sections: Adherence (adherence to individual components of MBRP and discussion of key concepts) and Competence (ratings of therapist style/approach and performance). Audio recordings from 44 randomly selected group treatment sessions (50%) were rated by independent raters for therapist adherence and competence in the RCT. Findings evinced high interrater reliability for all treatment adherence and competence ratings, and adequate internal consistency for Therapist Style/Approach and Therapist Performance summary scales. Ratings on the MBRP-AC suggested that therapists in the recent RCT adhered to protocol, discussed key concepts in each session, and demonstrated the intended style and competence in treatment delivery. Finally, overall ratings on the Adherence section were positively related to changes in mindfulness over the course of the treatment.
New opportunities for New SQL

The <i>Communications</i> Web site, http://cacm.acm. org, features more than a dozen bloggers in the BLOG@CACM community. In each issue of <i>Communications</i>, we publish selected posts or excerpts. <br /><br /><b>twitter</b><br />Follow us on Twitter at http://twitter.com/blogCACM<br /><br /><b>http://cacm.acm. org/blogs/blog-cacm</b><br /><br />Michael Stonebraker expects a substantial increase in the number of New SQL engines using a variety of architectures in the near future.
A Randomized Trial of Geriatric Liaison Intervention in Elderly Medical Inpatients

Objective The aim of this study was to examine the effect of psychogeriatric intervention in a group of elderly medical inpatients over 75 years of age. In addition to usual care, intervention consisted of multidisciplinary joint treatment by a psychogeriatric team. The main purpose of intervention was to obtain the optimal level of physical functioning. Method In a prospective randomized trial the effect of the intervention (N = 140) compared with usual care (N = 97) was estimated for physical functioning, length of stay, and nursing home placement within 12 months of discharge. Results Substantially more patients assigned to the intervention group improved in their physical functioning, and fewer became worse. The mean length of stay was 5 days shorter for the intervention group. There were more readmissions to hospital in the usual care group (29.9%) compared with the intervention group (17.4%). Of the patients assigned to the intervention treatment, 18% were admitted to a nursing home. In the usual care group this was 27%. The effects of intervention remained statistically significant for all the outcome variables after controlling for possible confounding baseline characteristics. Conclusions The intervention we studied had clinically relevant effects on important outcome variables. Psychiatric co-morbidity was an important risk factor for the outcome of the patients in our study. By combining elements from a psychiatric and geriatric consultation service with elements from a unit-driven service, we were able to improve health care for the elderly in our hospital in a feasible and cost-effective way.
3D Reconstruction of Complex Structures with Online Proﬁling and Adaptive Viewpoint Sampling

A modiﬁed Next Best View (NBV) approach is presented to improve the 3D reconstruction of complex symmetric structures. Two new stages are introduced to the NBV approach; A proﬁling stage quickly scans the structure of interest and builds a rough model called the ”proﬁle”. The proﬁle is relatively sparse but captures the major geometric features of the structure. A symmetry detection stage then determines major lines of symmetry in the proﬁle and labels points of interest. If a point exists in known space but its mirror image lies in unknown space, the mirrored point becomes a point of interest. The reconstruction is performed by a sensor mounted on an Unmanned Aerial Vehicle by us-ing a utility function that incorporates the detected symmetry points. We compare the proposed method with the classical information gain utility function in terms of coverage completeness, total iterations, and travel distance.
Sequential-contact bipedal running based on SLIP model through zero moment point control

This paper proposes a method to realize sequential-contact bipedal running based on the spring loaded inverted pendulum (SLIP) model. SLIP model has some excellent properties for realizing a natural locomotion, therefore some researchers proposed a method to mimic the SLIP dynamics for multi-body system's locomotion. In this paper, we propose a method to control contact conditions of a robot model through handling a zero moment point, and we combine it with a method of embedding the SLIP dynamics to multi-body system. It makes possible to control both the continuous dynamics and the phase transition of the robot model. Furthermore, to consider other sub tasks simultaneously, we introduce a hierarchical feedback linearization and construct the controller for sequential-contact bipedal running. Finally, we show that the proposed method can produce a desired running through the numerical simulations.
single processclient-server Controller Warehouse Communications Controller Application Persistency Application Controller Warehouse Persistency distributed Application Controller Warehouse Persistency Application Controller Warehouse

The Adaptive Object-Model (AOM) architectural pattern has been significantly documented in literature, but there is not yet enough documentation explaining how to design and build a full AOMbased system. A AOM framework would need to address an additional number of issues that go well beyond individual software patterns. In this paper, we propose a design for a AOM framework that addresses several issues of building AOM-based systems, namely: integrity, runtime co-evolution, persistency, user-interface generation, communication and concurrency. We borrow concepts from distributed version-control systems. We show how applications based on a concrete realization of this framework, called Oghma, helps to avoid a traditional two-level domain classification, reduces accidental complexity, and directly exposes confined model evolution to the end-user.
How Instagram content affects brand attitudes and behaviour

This paper examines the effectiveness of communication on Instagram, a type of visual social networking site, by the US Transportation Security Administration (TSA). Results show that the TSA’s Instagram account elicited stronger emotional reactions than a private consumer product business Instagram account. More importantly, perceived usefulness of content, perceived persuasive intent of content, and negative emotions all affected attitudes toward the TSA. Additionally, perceived usefulness of content and negative emotions also influenced communicative action regarding the TSA account. Findings demonstrate the emotional impact of visual communication and the role of both cognitive and affective evaluations in changing attitudes and behavior regarding a government agency.
Why Aren't There More Women Leaders in Academic Medicine? The Views of Clinical Department Chairs

Purpose A scarcity of women in leadership positions in academic medicine has persisted despite their increasing numbers in medical training. To understand the barriers confronting women and potential remedies, clinical department chairs with extensive leadership experience were interviewed. Method In 1998–99, open-ended interviews averaging 80 minutes in length were conducted with 34 chairs and two division chiefs in five specialties. Individuals were selected to achieve a balance for gender, geographic locale, longevity in their positions, and sponsorship and research intensity of their institutions. The interviews were audiotaped and fully transcribed, and the themes reported emerged from inductive analysis of the responses using standard qualitative techniques. Results The chairs' responses centered on the constraints of traditional gender roles, manifestations of sexism in the medical environment, and lack of effective mentors. Their strategies for addressing these barriers ranged from individual or one-on-one interventions (e.g., counseling, confronting instances of bias, and arranging for appropriate mentors) to institutional changes (e.g., extending tenure probationary periods, instituting mechanisms for responding to unprofessional behavior, establishing mentoring networks across the university). Conclusion The chairs universally acknowledged the existence of barriers to the advancement of women and proposed a spectrum of approaches to address them. Individual interventions, while adapting faculty to requirements, also tend to preserve existing institutional arrangements, including those that may have adverse effects on all faculty. Departmental or school-level changes address these shortcomings and have a greater likelihood of achieving enduring impact.